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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 187 occurrences of 89 keywords
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Results
Found 1052 publication records. Showing 1052 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
81 | Chien-I Lee, Cheng-Jung Tsai, Jhe-Hao Wu, Wei-Pang Yang |
A Decision Tree-Based Approach to Mining the Rules of Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (4) ![In: Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007, 24-27 August 2007, Haikou, Hainan, China, Proceedings, Volume 4, pp. 639-643, 2007, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
74 | Fredrik Kilander, Carl Gustaf Jansson |
COBBIT - A Control Procedure for COBWEB in the Presence of Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML-93, European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993, Proceedings, pp. 244-261, 1993, Springer, 3-540-56602-3. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP DOI BibTeX RDF |
|
74 | Hila Becker, Marta Arias |
Real-time ranking with concept drift using expert advice. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pp. 86-94, 2007, ACM, 978-1-59593-609-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
data streams, ranking, online learning, concept drift |
72 | Joel Scanlan, Jacky Hartnett, Raymond Williams |
DynamicWEB: Adapting to Concept Drift and Object Drift in COBWEB. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Australasian Conference on Artificial Intelligence ![In: AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008. Proceedings, pp. 454-460, 2008, Springer, 978-3-540-89377-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Contextual Clustering, Data Mining, Concept Drift |
69 | João Gama 0001, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues |
Learning with Drift Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SBIA ![In: Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29 - October 1, 2004, Proceedings, pp. 286-295, 2004, Springer, 3-540-23237-0. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
Incremental Supervised Learning, Machine Learning, Concept Drift |
69 | Pei-Pei Li 0001, Xuegang Hu, Xindong Wu 0001 |
Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings, pp. 733-740, 2008, Springer, 978-3-540-88191-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Classification, Data Streams, Concept Drift, Random Decision Trees |
68 | Michaela M. Black, Ray J. Hickey |
Learning classification rules for telecom customer call data under concept drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 8(2), pp. 102-108, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
Decision trees, User profiling, Concept drift, Adaptive learning |
65 | Indre Zliobaite |
Expected Classification Error of the Euclidean Linear Classifier under Sudden Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (2) ![In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 2, pp. 29-33, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
65 | Hyun-Jun Kim, Jenu Shrestha, Heung-Nam Kim, GeunSik Jo |
User Action Based Adaptive Learning with Weighted Bayesian Classification for Filtering Spam Mail. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Australian Conference on Artificial Intelligence ![In: AI 2006: Advances in Artificial Intelligence, 19th Australian Joint Conference on Artificial Intelligence, Hobart, Australia, December 4-8, 2006, Proceedings, pp. 790-798, 2006, Springer, 3-540-49787-0. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Weighted Bayesian, Concept Drift, Adaptive Learning, Spam Filtering |
60 | Ryan Elwell, Robi Polikar |
Incremental Learning of Variable Rate Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MCS ![In: Multiple Classifier Systems, 8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings, pp. 142-151, 2009, Springer, 978-3-642-02325-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
nonstationary environment, Learn?+?+?.NSE, concept drift |
59 | Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen |
Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CBMS ![In: 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 22-23 June 2006, Salt Lake City, Utah, USA, pp. 679-684, 2006, IEEE Computer Society, 978-0-7695-2517-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
57 | Kyosuke Nishida, Koichiro Yamauchi 0001 |
Detecting Concept Drift Using Statistical Testing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Discovery Science ![In: Discovery Science, 10th International Conference, DS 2007, Sendai, Japan, October 1-4, 2007, Proceedings, pp. 264-269, 2007, Springer, 978-3-540-75487-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
55 | João Gama 0001, Petr Kosina |
Tracking Recurring Concepts with Meta-learners. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EPIA ![In: Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Aveiro, Portugal, October 12-15, 2009. Proceedings, pp. 423-434, 2009, Springer, 978-3-642-04685-8. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Recurring Concepts, Data Streams, Concept Drift |
55 | Matjaz Kukar |
Drifting Concepts as Hidden Factors in Clinical Studies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AIME ![In: Artificial Intelligence in Medicine, 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings, pp. 355-364, 2003, Springer, 3-540-20129-7. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
partial memory learning, gradual forgetting, clinical studies, Data Mining, Machine Learning, windowing, concept drift |
52 | Eduardo Jaques Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama 0001 |
OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007, pp. 448-452, 2007, ACM, 1-59593-480-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
clustering, data streams, concept drift, novelty detection |
52 | George Forman |
Tackling concept drift by temporal inductive transfer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGIR ![In: SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, USA, August 6-11, 2006, pp. 252-259, 2006, ACM, 1-59593-369-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
machine learning, support vector machine, time series, text classification, concept drift, topic identification, inductive transfer |
51 | Antske Fokkens, Serge Ter Braake, Isa Maks, Davide Ceolin |
On the Semantics of Concept Drift: Towards Formal Definitions of Concept Drift and Semantic Change. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Drift-a-LOD@EKAW ![In: Proceedings of the 1st Workshop on Detection, Representation and Management of Concept Drift in Linked Open Data co-located with the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Bologna, Italy, November, 2016., pp. 10-17, 2016, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
47 | Dwi H. Widyantoro, John Yen |
Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 17(3), pp. 401-412, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
relevance feedback, information filtering, Concept learning |
45 | Albert Bifet, Geoffrey Holmes 0001, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà |
New ensemble methods for evolving data streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pp. 139-148, 2009, ACM, 978-1-60558-495-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
decision trees, data streams, concept drift, ensemble methods |
45 | Satoru Nishimura, Masahiro Terabe, Kazuo Hashimoto |
Decision Tree Induction from Numeric Data Stream. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Australasian Conference on Artificial Intelligence ![In: AI 2008: Advances in Artificial Intelligence, 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 1-5, 2008. Proceedings, pp. 311-317, 2008, Springer, 978-3-540-89377-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Numeric Data Stream, Hoeffding Tree, Concept Drift |
45 | Yi Ding, Xue Li 0001, Maria E. Orlowska |
Recency-based collaborative filtering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADC ![In: Database Technologies 2006, Proceedings of the 17th Australasian Database Conference, ADC 2006, Hobart, Tasmania, Australia, January 16-19 2006, pp. 99-107, 2006, Australian Computer Society, 1-920682-31-7. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP BibTeX RDF |
item-based approach, recency-based approach, collaborative filtering, similarity measure, concept drift |
43 | João Gama 0001, Pedro Medas, Pedro Pereira Rodrigues |
Learning decision trees from dynamic data streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), Santa Fe, New Mexico, USA, March 13-17, 2005, pp. 573-577, 2005, ACM, 1-58113-964-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
42 | Sarah Jane Delany, Derek G. Bridge |
Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCBR ![In: Case-Based Reasoning Research and Development, 7th International Conference on Case-Based Reasoning, ICCBR 2007, Belfast, Northern Ireland, UK, August 13-16, 2007, Proceedings, pp. 314-328, 2007, Springer, 978-3-540-74138-1. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
42 | Leandro L. Minku, Allan P. White, Xin Yao 0001 |
The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 22(5), pp. 730-742, 2010. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
diversity, online learning, Concept drift, neural network ensembles |
42 | Federico Maggi, William K. Robertson, Christopher Krügel, Giovanni Vigna |
Protecting a Moving Target: Addressing Web Application Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RAID ![In: Recent Advances in Intrusion Detection, 12th International Symposium, RAID 2009, Saint-Malo, France, September 23-25, 2009. Proceedings, pp. 21-40, 2009, Springer, 978-3-642-04341-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Machine Learning, Anomaly Detection, Concept Drift, Web Application Security |
42 | Kevin B. Pratt, Gleb Tschapek |
Visualizing concept drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003, pp. 735-740, 2003, ACM, 1-58113-737-0. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
parallel coordinate graph, parallel histogram, visualization, concept drift, brushing |
39 | Stephen H. Bach, Marcus A. Maloof |
Paired Learners for Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM ![In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, pp. 23-32, 2008, IEEE Computer Society, 978-0-7695-3502-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
39 | Carlos Pinto, João Gama 0001 |
Incremental discretization, application to data with concept drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007, pp. 467-468, 2007, ACM, 1-59593-480-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
39 | Michaela M. Black, Ray J. Hickey |
Detecting and Adapting to Concept Drift in Bioinformatics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KELSI ![In: Knowledge Exploration in Life Science Informatics, International Symposium,KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings, pp. 161-168, 2004, Springer, 3-540-23927-8. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
39 | Jeremy Z. Kolter, Marcus A. Maloof |
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM ![In: Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA, pp. 123-130, 2003, IEEE Computer Society, 0-7695-1978-4. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
37 | Yehuda Koren |
Collaborative filtering with temporal dynamics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pp. 447-456, 2009, ACM, 978-1-60558-495-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
recommender systems, collaborative filtering, concept drift |
37 | Peng Wang 0027, Haixun Wang, Xiaochen Wu, Wei Wang 0009, Baile Shi |
A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 19(9), pp. 1202-1213, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Classification, association rule, data stream, concept drift |
35 | Michaela M. Black, Ray J. Hickey |
Classification of Customer Call Data in the Presence of Concept Drift and Noise. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft-Ware ![In: Soft-Ware 2002: Computing in an Imperfect World, First International Conference, Soft-Ware 2002, Belfast, Northern Ireland, April 8-10, 2002, Proceedings, pp. 74-87, 2002, Springer, 3-540-43481-X. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
35 | Ray J. Hickey, Michaela M. Black |
Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules. ![Search on Bibsonomy](Pics/bibsonomy.png) |
TSDM ![In: Temporal, Spatial, and Spatio-Temporal Data Mining, First International Workshop TSDM 2000 Lyon, France, September 12, 2000, Revised Papers, pp. 20-30, 2000, Springer, 3-540-41773-7. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
35 | Bijan Raahemi, Weicai Zhong, Jing Liu 0006 |
Exploiting unlabeled data to improve peer-to-peer traffic classification using incremental tri-training method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Peer-to-Peer Netw. Appl. ![In: Peer-to-Peer Netw. Appl. 2(2), pp. 87-97, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Windowing technique, Tri-training, Peer-to-peer traffic, IP traffic identification, Concept drift, Unlabeled data, Stream data mining |
35 | Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa |
Unsupervised Change Analysis Using Supervised Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings, pp. 148-159, 2008, Springer, 978-3-540-68124-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
two-sample test, concept drift, change analysis |
35 | Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus |
Machine Learning for User Modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
User Model. User Adapt. Interact. ![In: User Model. User Adapt. Interact. 11(1-2), pp. 19-29, 2001. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
machine learning, World Wide Web, computational complexity, user modeling, concept drift, information agents |
34 | Albert Bifet, Ricard Gavaldà |
Adaptive Learning from Evolving Data Streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDA ![In: Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings, pp. 249-260, 2009, Springer, 978-3-642-03914-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
34 | Gladys Castillo, João Gama 0001, Pedro Medas |
Adaptation to Drifting Concepts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EPIA ![In: Progress in Artificial Intelligence, 11th Protuguese Conference on Artificial Intelligence, EPIA 2003, Beja, Portugal, December 4-7, 2003, Proceedings, pp. 279-293, 2003, Springer, 3-540-20589-6. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
31 | Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ESWC ![In: The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC 2008, Tenerife, Canary Islands, Spain, June 1-5, 2008, Proceedings, pp. 318-332, 2008, Springer, 978-3-540-68233-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
31 | John Case, Sanjay Jain 0001, Susanne Kaufmann, Arun Sharma 0001, Frank Stephan 0001 |
Predictive Learning Models for Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ALT ![In: Algorithmic Learning Theory, 9th International Conference, ALT '98, Otzenhausen, Germany, October 8-10, 1998, Proceedings, pp. 276-290, 1998, Springer, 3-540-65013-X. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
|
30 | Johannes Schmitt 0001, Matthias Hollick, Christoph Roos, Ralf Steinmetz |
Adapting the User Context in Realtime: Tailoring Online Machine Learning Algorithms to Ambient Computing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mob. Networks Appl. ![In: Mob. Networks Appl. 13(6), pp. 583-598, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
machine learning, pervasive computing, context-aware computing, ambient computing |
30 | Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal |
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CBMS ![In: Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, June 17-19, 2008, Jyväskylä, Finland, pp. 632-637, 2008, IEEE Computer Society, 978-0-7695-3165-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
30 | Brent Wenerstrom, Christophe G. Giraud-Carrier |
Temporal Data Mining in Dynamic Feature Spaces. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM ![In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, pp. 1141-1145, 2006, IEEE Computer Society, 0-7695-2701-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
30 | Manfred Klenner, Udo Hahn |
Concept Versioning: A Methodology for Tracking Evolutionary Concept Drift in Dynamic Concept Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECAI ![In: Proceedings of the Eleventh European Conference on Artificial Intelligence, Amsterdam, The Netherlands, August 8-12, 1994., pp. 473-477, 1994, John Wiley and Sons, Chichester. The full citation details ...](Pics/full.jpeg) |
1994 |
DBLP BibTeX RDF |
|
29 | Jeremy Z. Kolter, Marcus A. Maloof |
Using additive expert ensembles to cope with concept drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005, pp. 449-456, 2005, ACM, 1-59593-180-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
27 | Jinpeng Li, Hang Yu 0006, Zhenyu Zhang 0013, Xiangfeng Luo, Shaorong Xie |
Concept Drift Adaptation by Exploiting Drift Type. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Knowl. Discov. Data ![In: ACM Trans. Knowl. Discov. Data 18(4), pp. 96:1-96:22, May 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
27 | Tajwar Mehmood, Seemab Latif, Nor Shahida Mohd Jamail, Asad Malik 0001, Rabia Latif |
LSTMDD: an optimized LSTM-based drift detector for concept drift in dynamic cloud computing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PeerJ Comput. Sci. ![In: PeerJ Comput. Sci. 10, pp. e1827, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
27 | Vandana Bharti, Shabari S. Nair, Akshat Jain, Kaushal Kumar Shukla, Bhaskar Biswas |
Concept drift detection in toxicology datasets using discriminative subgraph-based drift detector. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Briefings Bioinform. ![In: Briefings Bioinform. 24(1), January 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
27 | Arvind Kumar Gangwar, Sandeep Kumar 0004 |
Concept Drift in Software Defect Prediction: A Method for Detecting and Handling the Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Internet Techn. ![In: ACM Trans. Internet Techn. 23(2), pp. 31:1-31:28, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
27 | Firas Bayram, Bestoun S. Ahmed, Andreas Kassler |
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2203.11070, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
27 | Firas Bayram, Bestoun S. Ahmed, Andreas Kassler |
From concept drift to model degradation: An overview on performance-aware drift detectors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Based Syst. ![In: Knowl. Based Syst. 245, pp. 108632, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
27 | Ibnu Daqiqil Id, Masanobu Abe, Sunao Hara |
Evaluation of concept drift adaptation for acoustic scene classifier based on Kernel Density Drift Detection and Combine Merge Gaussian Mixture Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2105.13220, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
27 | Anjin Liu, Jie Lu 0001, Guangquan Zhang 0001 |
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks Learn. Syst. ![In: IEEE Trans. Neural Networks Learn. Syst. 32(1), pp. 293-307, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
27 | Salvatore Greco, Tania Cerquitelli |
Drift Lens: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM (Workshops) ![In: 2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021, pp. 341-349, 2021, IEEE, 978-1-6654-2427-1. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
27 | Ivan A. Nikolov, Mark Philip Philipsen, Jinsong Liu, Jacob V. Dueholm, Anders Skaarup Johansen, Kamal Nasrollahi, Thomas B. Moeslund |
Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS Datasets and Benchmarks ![In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual., 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP BibTeX RDF |
|
27 | Anjin Liu, Jie Lu 0001, Guangquan Zhang 0001 |
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2004.05810, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
27 | Zeng Li, Yan Xiong, Wenchao Huang |
Drift-detection Based Incremental Ensemble for Reacting to Different Kinds of Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BigCom ![In: 5th International Conference on Big Data Computing and Communications, BIGCOM 2019, QingDao, China, August 9-11, 2019, pp. 107-114, 2019, IEEE, 978-1-7281-4024-7. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
27 | Robert Anderson 0001, Yun Sing Koh, Gillian Dobbie |
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Australasian Conference on Artificial Intelligence ![In: AI 2018: Advances in Artificial Intelligence - 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings, pp. 630-642, 2018, Springer, 978-3-030-03990-5. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
27 | Anjin Liu, Yiliao Song, Guangquan Zhang 0001, Jie Lu 0001 |
Regional Concept Drift Detection and Density Synchronized Drift Adaptation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCAI ![In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, pp. 2280-2286, 2017, ijcai.org, 978-0-9992411-0-3. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
27 | Rodolfo C. Cavalcante, Adriano L. I. Oliveira |
An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: 2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015, pp. 1-8, 2015, IEEE, 978-1-4799-1960-4. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
27 | Indre Zliobaite |
Combining Time and Space Similarity for Small Size Learning under Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISMIS ![In: Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings, pp. 412-421, 2009, Springer, 978-3-642-04124-2. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
27 | Ludmila I. Kuncheva, Indre Zliobaite |
Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSPR/SPR ![In: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings, pp. 4, 2008, Springer, 978-3-540-89688-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
27 | José Ramón Méndez 0001, Florentino Fernández Riverola, Eva Lorenzo Iglesias, Fernando Díaz 0001, Juan M. Corchado |
Tracking Concept Drift at Feature Selection Stage in SpamHunting: An Anti-spam Instance-Based Reasoning System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCBR ![In: Advances in Case-Based Reasoning, 8th European Conference, ECCBR 2006, Fethiye, Turkey, September 4-7, 2006, Proceedings, pp. 504-518, 2006, Springer, 3-540-36843-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
25 | Ioannis Katakis 0001, Grigorios Tsoumakas, Evangelos Banos, Nick Bassiliades, Ioannis P. Vlahavas |
An adaptive personalized news dissemination system. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Inf. Syst. ![In: J. Intell. Inf. Syst. 32(2), pp. 191-212, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
News filtering, Dynamic feature space, Ontology, Personalization, Text classification, Concept drift |
25 | Angelos Stavrou, Gabriela F. Cretu-Ciocarlie, Michael E. Locasto, Salvatore J. Stolfo |
Keep your friends close: the necessity for updating an anomaly sensor with legitimate environment changes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISec ![In: Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, AISec 2009, Chicago, Illinois, USA, November 9, 2009, pp. 39-46, 2009, ACM, 978-1-60558-781-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
anomaly detection, concept drift, model update |
25 | Elena Ikonomovska, João Gama 0001, Raquel Sebastião, Dejan Gjorgjevikj |
Regression Trees from Data Streams with Drift Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Discovery Science ![In: Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009, pp. 121-135, 2009, Springer, 978-3-642-04746-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
data stream, change detection, concept drift, regression trees, stream data mining |
25 | Wei Qu, Yang Zhang 0010, Junping Zhu, Qiang Qiu |
Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACML ![In: Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings, pp. 308-321, 2009, Springer, 978-3-642-05223-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Binary Relevance, Dynamic Classifier Ensemble, Data Stream, Concept Drift, Multi-label |
25 | Pin Zhang, Juhua Pu, Yongli Liu, Zhang Xiong 0001 |
A Probabilistic Approach for Mining Drifting User Interest. ![Search on Bibsonomy](Pics/bibsonomy.png) |
APWeb/WAIM ![In: Advances in Data and Web Management, Joint International Conferences, APWeb/WAIM 2009, Suzhou, China, April 2-4, 2009, Proceedings, pp. 381-391, 2009, Springer, 978-3-642-00671-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Incremental Learning, Concept Drift, Interest Model |
25 | Jack Chongjie Xue, Gary M. Weiss |
Quantification and semi-supervised classification methods for handling changes in class distribution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pp. 897-906, 2009, ACM, 978-1-60558-495-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
class distribution, classification, semi-supervised learning, concept drift, quantification |
25 | Pei-Pei Li 0001, Xuegang Hu, Qianhui Liang, Yunjun Gao |
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLDM ![In: Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings, pp. 236-250, 2009, Springer, 978-3-642-03069-7. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Ensemble Decision Trees, Data Streams, Noise, Concept Drift |
25 | George Forman |
Quantifying counts and costs via classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Min. Knowl. Discov. ![In: Data Min. Knowl. Discov. 17(2), pp. 164-206, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Prevalence estimation, Class distribution estimation, Quantification research methodology, Detecting and tracking trends, Classification, Text mining, Concept drift, Class imbalance, Supervised machine learning |
25 | Albert Bifet, Ricard Gavaldà |
Mining adaptively frequent closed unlabeled rooted trees in data streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pp. 34-42, 2008, ACM, 978-1-60558-193-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
closed mining, data streams, patterns, trees, concept drift |
25 | Satoru Nishimura, Masahiro Terabe, Kazuo Hashimoto, Koichiro Mihara |
Learning Higher Accuracy Decision Trees from Concept Drifting Data Streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEA/AIE ![In: New Frontiers in Applied Artificial Intelligence, 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008, Wroclaw, Poland, June 18-20, 2008, Proceedings, pp. 179-188, 2008, Springer, 978-3-540-69045-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
CVFDT, decision tree, data stream, concept drift, naive-Bayes classifiers |
25 | Michael Muhlbaier, Robi Polikar |
An Ensemble Approach for Incremental Learning in Nonstationary Environments. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MCS ![In: Multiple Classifier Systems, 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings, pp. 490-500, 2007, Springer, 978-3-540-72481-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Nonstationary environment, Learn?+?+?.NSE, concept drift |
25 | Zoheir Sahel, Abdelhamid Bouchachia, Bogdan Gabrys, Paul Rogers |
Adaptive Mechanisms for Classification Problems with Drifting Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KES (2) ![In: Knowledge-Based Intelligent Information and Engineering Systems, 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007. Proceedings, Part II, pp. 419-426, 2007, Springer, 978-3-540-74826-7. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Incremental learning, Concept drift, adaptive classification |
25 | Haixun Wang, Jian Yin 0002, Jian Pei, Philip S. Yu, Jeffrey Xu Yu |
Suppressing model overfitting in mining concept-drifting data streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pp. 736-741, 2006, ACM, 1-59593-339-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
data streams, classifier, concept drift, classifier ensemble |
25 | Wei Fan 0001 |
Systematic data selection to mine concept-drifting data streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pp. 128-137, 2004, ACM, 1-58113-888-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
decision trees, data streams, concept-drift |
25 | Tom Fawcett |
"In vivo" spam filtering: a challenge problem for KDD. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGKDD Explor. ![In: SIGKDD Explor. 5(2), pp. 140-148, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
challenge problems, class skew, data streams, text classification, spam, cost-sensitive learning, concept drift, imbalanced data |
25 | Haixun Wang, Wei Fan 0001, Philip S. Yu, Jiawei Han 0001 |
Mining concept-drifting data streams using ensemble classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003, pp. 226-235, 2003, ACM, 1-58113-737-0. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
data streams, classifier, concept drift, classifier ensemble |
25 | Geoff Hulten, Laurie Spencer, Pedro M. Domingos |
Mining time-changing data streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001, pp. 97-106, 2001, ACM, 1-58113-391-X. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
Decision trees, data streams, incremental learning, concept drift, subsampling, Hoeffding bounds |
23 | Kutalmis Coskun, Borahan Tümer |
Learning under concept drift and non-stationary noise: Introduction of the concept of persistence. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Eng. Appl. Artif. Intell. ![In: Eng. Appl. Artif. Intell. 123(Part B), pp. 106363, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
23 | Xing Tian, Wing W. Y. Ng, Hui Wang 0001 |
Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Cybern. ![In: IEEE Trans. Cybern. 51(10), pp. 5184-5197, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Xiulin Zheng, Peipei Li 0001, Xuegang Hu, Kui Yu |
Semi-supervised classification on data streams with recurring concept drift and concept evolution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Based Syst. ![In: Knowl. Based Syst. 215, pp. 106749, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
23 | Oliver Becher, Laura Hollink, Desmond Elliott |
Exploring Concept Representations for Concept Drift Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SEMANTiCS (Workshops) ![In: Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017), Amsterdam, Netherlands, September 11 and 14, 2017., 2017, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
|
23 | Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia |
Active Learning for Data Streams Under Concept Drift and Concept Evolution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
STREAMEVOLV@ECML-PKDD ![In: Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), Riva del Garda, Italy, September 23, 2016., 2016, CEUR-WS.org. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
23 | Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani Thuraisingham, Charu C. Aggarwal |
Efficient handling of concept drift and concept evolution over Stream Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDE ![In: 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, May 16-20, 2016, pp. 481-492, 2016, IEEE Computer Society, 978-1-5090-2020-1. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
23 | Yutaka Miyazaki, Yuzuru Tanaka |
Concept Drift in documents and Formal Concept Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EJC ![In: Information Modelling and Knowledge Bases XXI, 19th European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2009), Maribor, Slovenia, June 1-5, 2009, pp. 105-115, 2009, IOS Press, 978-1-60750-089-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
22 | Stefan Hoeglinger, Russel Pears, Yun Sing Koh |
CBDT: A Concept Based Approach to Data Stream Mining. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings, pp. 1006-1012, 2009, Springer, 978-3-642-01306-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
20 | Mohammad M. Masud 0001, Jing Gao 0004, Latifur Khan, Jiawei Han 0001, Bhavani Thuraisingham |
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML/PKDD (2) ![In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II, pp. 79-94, 2009, Springer, 978-3-642-04173-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
20 | Hoang Vu Nguyen, Vivekanand Gopalkrishnan, Praneeth Namburi |
Online Outlier Detection Based on Relative Neighbourhood Dissimilarity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WISE ![In: Web Information Systems Engineering - WISE 2008, 9th International Conference, Auckland, New Zealand, September 1-3, 2008. Proceedings, pp. 50-61, 2008, Springer, 978-3-540-85480-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
20 | Zhenzheng Ouyang, Quanyuan Wu, Tao Wang |
An Efficient Decision Tree Classification Method Based on Extended Hash Table for Data Streams Mining. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (5) ![In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 5, pp. 313-317, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
20 | Ludmila I. Kuncheva, Catrin O. Plumpton |
Adaptive Learning Rate for Online Linear Discriminant Classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSPR/SPR ![In: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings, pp. 510-519, 2008, Springer, 978-3-540-89688-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
20 | Fulufhelo V. Nelwamondo, Tshilidzi Marwala |
Handling Missing Data from Heteroskedastic and Nonstationary Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2007, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Proceedings, Part I, pp. 1293-1302, 2007, Springer, 978-3-540-72382-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
20 | Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano |
StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007, pp. 1751, 2007, ACM, 978-1-59593-697-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
distributed streaming data, data mining, classification, genetic programming, ensemble |
20 | Sebastian Lühr, Mihai M. Lazarescu |
A Visual Data Analysis Tool for Sport Player Performance Benchmarking, Comparison, and Change Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICTAI (1) ![In: 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, Patras, Greece, Volume 1, pp. 289-296, 2007, IEEE Computer Society, 0-7695-3015-X. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
20 | Jan Ramon, Kurt Driessens, Tom Croonenborghs |
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings, pp. 699-707, 2007, Springer, 978-3-540-74957-8. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
20 | Gladys Castillo, João Gama 0001 |
An Adaptive Prequential Learning Framework for Bayesian Network Classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PKDD ![In: Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings, pp. 67-78, 2006, Springer, 3-540-45374-1. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
20 | Marlon Núñez, Raúl Fidalgo, Rafael Morales Bueno |
On-Line Learning of Decision Trees in Problems with Unknown Dynamics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICAI ![In: MICAI 2005: Advances in Artificial Intelligence, 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings, pp. 443-453, 2005, Springer, 3-540-29896-7. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
20 | Muhammad Fermi Pasha, Rahmat Budiarto, Mohammad Syukur, Masashi Yamada |
EFIS: Evolvable-Neural-Based Fuzzy Inference System and Its Application for Adaptive Network Anomaly Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMLC ![In: Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers, pp. 662-671, 2005, Springer, 3-540-33584-6. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
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