Search results for "Nada Lavrac"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Ingrid Petric, Bojan Cestnik, Nada Lavrac, Tanja Urbancic	Outlier Detection in Cross-Context Link Discovery for Creative Literature Mining.	Comput. J.	2012	DBLP DOI BibTeX RDF
1	Vid Podpecan, Monika Zemenova, Nada Lavrac	Orange4WS Environment for Service-Oriented Data Mining.	Comput. J.	2012	DBLP DOI BibTeX RDF
1	Vid Podpecan, Nada Lavrac, Igor Mozetic, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden	SegMine workflows for semantic microarray data analysis in Orange4WS.	BMC Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Expert-Guided Subgroup Discovery: Methodology and Application	CoRR	2011	DBLP BibTeX RDF
1	Monika Záková, Petr Kremen, Filip Zelezný, Nada Lavrac	Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning.	IEEE T. Automation Science and Engineering	2011	DBLP DOI BibTeX RDF
1	Mor Peleg, Nada Lavrac, Carlo Combi (eds.)	Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings	AIME	2011	DBLP DOI BibTeX RDF
1	Borut Sluban, Matjaz Jursic, Bojan Cestnik, Nada Lavrac	Evaluating Outliers for Cross-Context Link Discovery.	AIME	2011	DBLP DOI BibTeX RDF
1	Nada Lavrac, Anze Vavpetic, Larisa N. Soldatova, Igor Trajkovski, Petra Kralj Novak	Using Ontologies in Semantic Data Mining with SEGS and g-SEGS.	Discovery Science	2011	DBLP DOI BibTeX RDF
1	Miha Grcar, Nada Lavrac	A Methodology for Mining Document-Enriched Heterogeneous Information Networks.	Discovery Science	2011	DBLP DOI BibTeX RDF
1	Matjaz Jursic, Igor Mozetic, Tomaz Erjavec, Nada Lavrac	LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules.	J. UCS	2010	DBLP DOI BibTeX RDF
1	Nada Lavrac, Blaz Zupan	Data Mining in Medicine.	Data Mining and Knowledge Discovery Handbook	2010	DBLP DOI BibTeX RDF
1	Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb	Supervised Descriptive Rule Induction.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Nada Lavrac, Johannes Fürnkranz, Dragan Gamberger	Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms.	Advances in Machine Learning I	2010	DBLP DOI BibTeX RDF
1	Borut Sluban, Dragan Gamberger, Nada Lavrac	Performance Analysis of Class Noise Detection Algorithms.	STAIRS	2010	DBLP DOI BibTeX RDF
1	Borut Sluban, Dragan Gamberger, Nada Lavrac	Advances in Class Noise Detection.	ECAI	2010	DBLP DOI BibTeX RDF
1	Vid Podpecan, Miha Grcar, Nada Lavrac	Semi-supervised Constrained Clustering: An Expert-Guided Data Analysis Methodology.	PRICAI	2010	DBLP DOI BibTeX RDF
1	Vid Podpecan, Monika Záková, Nada Lavrac	Workflow Construction for Service-Oriented Knowledge Discovery.	ISoLA	2010	DBLP DOI BibTeX RDF
1	Miha Grcar, Vid Podpecan, Matjaz Jursic, Nada Lavrac	Efficient Visualization of Document Streams.	Discovery Science	2010	DBLP DOI BibTeX RDF
1	Petra Kralj Novak, Nada Lavrac, Geoffrey I. Webb	Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Filip Zelezný, Nada Lavrac	Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008).	Machine Learning	2009	DBLP DOI BibTeX RDF
1	Petra Kralj Novak, Nada Lavrac, Dragan Gamberger, Antonija Krstacic	CSM-SD: Methodology for contrast set mining through subgroup discovery.	Journal of Biomedical Informatics	2009	DBLP DOI BibTeX RDF
1	Joël Plisson, Nada Lavrac, Dunja Mladenic, Tomaz Erjavec	Ripple Down Rule learning for automated word lemmatisation.	AI Commun.	2008	DBLP BibTeX RDF
1	Gemma C. Garriga, Petra Kralj, Nada Lavrac	Closed Sets for Labeled Data.	Journal of Machine Learning Research	2008	DBLP DOI BibTeX RDF
1	Igor Trajkovski, Nada Lavrac, Jakub Tolar	SEGS: Search for enriched gene sets in microarray data.	Journal of Biomedical Informatics	2008	DBLP DOI BibTeX RDF
1	Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar	Learning Relational Descriptions of Differentially Expressed Gene Groups.	IEEE Transactions on Systems, Man, and Cybernetics, Part C	2008	DBLP DOI BibTeX RDF
1	Blaz Fortuna, Nada Lavrac, Paola Velardi	Advancing Topic Ontology Learning through Term Extraction.	PRICAI	2008	DBLP DOI BibTeX RDF	Topic ontology, term extraction, ontology construction
1	Dragan Gamberger, Nada Lavrac, Johannes Fürnkranz	Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach.	PRICAI	2008	DBLP DOI BibTeX RDF	unknown attribute value, imprecision of attribute values, features, rule learning
1	Jeroen S. de Bruin, Joost N. Kok, Nada Lavrac, Igor Trajkovski	On the Design of Knowledge Discovery Services Design Patterns and Their Application in a Use Case Implementation.	ISoLA	2008	DBLP DOI BibTeX RDF
1	Filip Zelezný, Nada Lavrac (eds.)	Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings	ILP	2008	DBLP BibTeX RDF
1	Dragan Gamberger, Nada Lavrac, Antonija Krstacic, Goran Krstacic	Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis.	Appl. Intell.	2007	DBLP DOI BibTeX RDF
1	Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Marko Debeljak, Andrej Kobler	Data mining and visualization for decision support and modeling of public health-care resources.	Journal of Biomedical Informatics	2007	DBLP DOI BibTeX RDF
1	Nada Lavrac, Peter Ljubic, Tanja Urbani, Gregor Papa, Mitja Jermol, S. Bollhalter	Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates.	IEEE Transactions on Systems, Man, and Cybernetics, Part C	2007	DBLP DOI BibTeX RDF
1	Joël Plisson, Peter Ljubic, Igor Mozetic, Nada Lavrac	An Ontology for Virtual Organization Breeding Environments.	IEEE Transactions on Systems, Man, and Cybernetics, Part C	2007	DBLP DOI BibTeX RDF
1	Damjan Demsar, Igor Mozetic, Nada Lavrac	Collaboration Opportunity Finder.	Virtual Enterprises and Collaborative Networks	2007	DBLP DOI BibTeX RDF
1	Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic	Contrast Set Mining Through Subgroup Discovery Applied to Brain Ischaemina Data.	PAKDD	2007	DBLP DOI BibTeX RDF
1	Petra Kralj, Nada Lavrac, Dragan Gamberger, Antonija Krstacic	Contrast Set Mining for Distinguishing Between Similar Diseases.	AIME	2007	DBLP DOI BibTeX RDF
1	Igor Trajkovski, Nada Lavrac	Interpreting Gene Expression Data by Searching for Enriched Gene Sets.	AIME	2007	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Supporting Factors in Descriptive Analysis of Brain Ischaemia.	AIME	2007	DBLP DOI BibTeX RDF
1	Aleksander Pur, Marko Bohanec, Nada Lavrac, Bojan Cestnik, Marko Debeljak, Anton Gradisek	Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization.	AIME	2007	DBLP DOI BibTeX RDF	primary public health-care system, visualization, decision support systems, intelligent data analysis
1	Michael R. Berthold, John Shawe-Taylor, Nada Lavrac (eds.)	Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings	IDA	2007	DBLP BibTeX RDF
1	Igor Trajkovski, Nada Lavrac	Efficient Generation of Biologically Relevant Enriched Gene Sets.	ISBRA	2007	DBLP DOI BibTeX RDF
1	Filip Zelezný, Nada Lavrac	Propositionalization-based relational subgroup discovery with RSD.	Machine Learning	2006	DBLP DOI BibTeX RDF	Feature construction, Subgroup discovery, Relational data mining, Propositionalization
1	Branko Kavsek, Nada Lavrac	APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.	Applied Artificial Intelligence	2006	DBLP DOI BibTeX RDF
1	Gemma C. Garriga, Petra Kralj, Nada Lavrac	Closed Sets for Labeled Data.	PKDD	2006	DBLP DOI BibTeX RDF
1	Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar	Relational Descriptive Analysis of Gene Expression Data.	STAIRS	2006	DBLP BibTeX RDF
1	Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac	Relational Subgroup Discovery for Descriptive Analysis of Microarray Data.	CompLife	2006	DBLP DOI BibTeX RDF
1	Monika Záková, Filip Zelezný, Javier A. García-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina	Relational Data Mining Applied to Virtual Engineering of Product Designs.	ILP	2006	DBLP DOI BibTeX RDF
1	Ljupco Todorovski, Nada Lavrac, Klaus P. Jantke (eds.)	Discovery Science, 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings	Discovery Science	2006	DBLP BibTeX RDF
1	Nada Lavrac, Blaz Zupan	Data Mining in Medicine.	The Data Mining and Knowledge Discovery Handbook	2005	DBLP BibTeX RDF
1	Nada Lavrac	Subgroup Discovery Techniques and Applications.	PAKDD	2005	DBLP DOI BibTeX RDF
1	Aleksander Pur, Marko Bohanec, Bojan Cestnik, Nada Lavrac, Marko Debeljak, Tadeja Kopac	Data Mining for Decision Support: An Application in Public Health Care.	IEA/AIE	2005	DBLP DOI BibTeX RDF	Applications to Health Care, Data Mining, Knowledge Management, Knowledge Discovery, Decision Support
1	Nada Lavrac, Peter Ljubic, Mitja Jermol, Gregor Papa	A Decision Support Approach to Modeling Trust in Networked Organizations.	IEA/AIE	2005	DBLP DOI BibTeX RDF
1	Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Mitja Jermol, Tanja Urbancic, Marko Debeljak, Branko Kavsek, Tadeja Kopac	Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies.	AIME	2005	DBLP DOI BibTeX RDF
1	Nada Lavrac	SolEuNet: Selected Data Mining Techniques and Applications.	GfKl	2005	DBLP DOI BibTeX RDF
1	Nada Lavrac, Branko Kavsek, Peter A. Flach, Ljupco Todorovski	Subgroup Discovery with CN2-SD.	Journal of Machine Learning Research	2004	DBLP BibTeX RDF
1	Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach	Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned.	Machine Learning	2004	DBLP DOI BibTeX RDF	data mining, decision support, actionability, lessons learned, subgroup discovery
1	Nada Lavrac, Hiroshi Motoda, Tom Fawcett	Editorial: Data Mining Lessons Learned.	Machine Learning	2004	DBLP DOI BibTeX RDF
1	Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans	Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving.	Machine Learning	2004	DBLP DOI BibTeX RDF	scientific discovery, collaborative data mining, future data mining challenges, data mining, machine learning, knowledge management, applications, lessons learned
1	Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar	Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.	Journal of Biomedical Informatics	2004	DBLP DOI BibTeX RDF
1	Mitja Jermol, Nada Lavrac, Tanja Urbancic, Tadeja Kopac	Supporting a Public Health Care Virtual Organization by Knowledge Technologies.	Virtual Enterprises and Collaborative Networks	2004	DBLP BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics.	ECAI	2004	DBLP BibTeX RDF
1	Nada Lavrac, Filip Zelezný, Saso Dzeroski	Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.	Local Pattern Detection	2004	DBLP DOI BibTeX RDF
1	Nada Lavrac, Dragan Gamberger	Relevancy in Constraint-Based Subgroup Discovery.	Constraint-Based Mining and Inductive Databases	2004	DBLP DOI BibTeX RDF
1	Branko Kavsek, Nada Lavrac, Ljupco Todorovski	ROC Analysis of Example Weighting in Subgroup Discovery.	ROCAI	2004	DBLP BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Active subgroup mining: a case study in coronary heart disease risk group detection.	Artificial Intelligence in Medicine	2003	DBLP DOI BibTeX RDF
1	Mitja Jermol, Nada Lavrac, Tanja Urbancic	Managing business intelligence in a virtual enterprise: A case study and knowledge management lessons learned.	Journal of Intelligent and Fuzzy Systems	2003	DBLP BibTeX RDF
1	Nada Lavrac, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski (eds.)	Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings	PKDD	2003	DBLP BibTeX RDF
1	Nada Lavrac, Dragan Gamberger, Ljupco Todorovski, Hendrik Blockeel (eds.)	Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings	ECML	2003	DBLP BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Analysis of Gene Expression Data by the Logic Minimization Approach.	AIME	2003	DBLP DOI BibTeX RDF
1	Branko Kavsek, Nada Lavrac, Viktor Jovanoski	APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.	IDA	2003	DBLP DOI BibTeX RDF
1	Mark-A. Krogel, Simon Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel	Comparative Evaluation of Approaches to Propositionalization.	ILP	2003	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac, Goran Krstacic	Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery.	Journal of Intelligent and Fuzzy Systems	2002	DBLP BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Expert-Guided Subgroup Discovery: Methodology and Application.	J. Artif. Intell. Res. (JAIR)	2002	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Generating Actionable Knowledge by Expert-Guided Subgroup Discovery.	PKDD	2002	DBLP DOI BibTeX RDF
1	Nada Lavrac, Peter A. Flach, Branko Kavsek, Ljupco Todorovski	Adapting classification rule induction to subgroup discovery.	ICDM	2002	DBLP DOI BibTeX RDF
1	Nada Lavrac	Virtual Enterprise for Data Mining and Decision Support.	PRO-VE	2002	DBLP BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain.	ICML	2002	DBLP BibTeX RDF
1	Peter A. Flach, Nada Lavrac	Learning in Clausal Logic: A Perspective on Inductive Logic Programming.	Computational Logic: Logic Programming and Beyond	2002	DBLP DOI BibTeX RDF
1	Nada Lavrac, Filip Zelezný, Peter A. Flach	RSD: Relational Subgroup Discovery through First-Order Feature Construction.	ILP	2002	DBLP DOI BibTeX RDF
1	Elpida T. Keravnou, Nada Lavrac	AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium.	Artificial Intelligence in Medicine	2001	DBLP DOI BibTeX RDF
1	Nada Lavrac, Peter A. Flach	An extended transformation approach to inductive logic programming.	ACM Trans. Comput. Log.	2001	DBLP DOI BibTeX RDF	data mining, machine learning, relational databases, inductive logic programming
1	Viktor Jovanoski, Nada Lavrac	Classification Rule Learning with APRIORI-C.	EPIA	2001	DBLP DOI BibTeX RDF
1	Branko Kavsek, Nada Lavrac, Anuska Ferligoj	Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction.	ECML	2001	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac, Saso Dzeroski	Noise Detection and Elimination in data Proprocessing: Experiments in Medical Domains.	Applied Artificial Intelligence	2000	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac	Confirmation Rule Sets.	PKDD	2000	DBLP DOI BibTeX RDF
1	Ljupco Todorovski, Peter A. Flach, Nada Lavrac	Predictive Performance of Weghted Relative Accuracy.	PKDD	2000	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tomislav Smuc	Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.	ISMDA	2000	DBLP DOI BibTeX RDF
1	Nada Lavrac	Selected techniques for data mining in medicine.	Artificial Intelligence in Medicine	1999	DBLP DOI BibTeX RDF
1	Nada Lavrac, Dragan Gamberger, Viktor Jovanoski	A Study of Relevance for Learning in Deductive Databases.	J. Log. Program.	1999	DBLP DOI BibTeX RDF
1	Saso Dzeroski, Nada Lavrac	Editorial.	Data Min. Knowl. Discov.	1999	DBLP DOI BibTeX RDF
1	Nada Lavrac, Saso Dzeroski, Masayuki Numao	Inductive Logic Programming for Relational Knowledge Discovery.	New Generation Comput.	1999	DBLP DOI BibTeX RDF
1	Nada Lavrac	Challenges for Inductive Logic Programming.	EPIA	1999	DBLP DOI BibTeX RDF
1	Dragan Gamberger, Nada Lavrac, Ciril Groselj	Experiments with Noise Filtering in a Medical Domain.	ICML	1999	DBLP BibTeX RDF
1	Dragan Gamberger, Nada Lavrac, Ciril Groselj	Diagnostic Rules of Increased Reliability for Critical Medical Applications.	AIMDM	1999	DBLP DOI BibTeX RDF
1	Nada Lavrac	Machine Learning for Data Mining in Medicine.	AIMDM	1999	DBLP DOI BibTeX RDF
1	Nada Lavrac, Peter A. Flach, Blaz Zupan	Rule Evaluation Measures: A Unifying View.	ILP	1999	DBLP DOI BibTeX RDF
1	Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou	Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction.	AI Commun.	1998	DBLP BibTeX RDF
1	Nada Lavrac, Dragan Gamberger, Peter D. Turney	A Relevancy Filter for Constructive Induction.	IEEE Intelligent Systems	1998	DBLP BibTeX RDF
1	Nada Lavrac	Inductive Logic Programming for Relational Knowledge Discovery.	IJCSLP	1998	DBLP BibTeX RDF
1	Darko Zupanic, Milan Hodoscek, Nada Lavrac, Igor Mozetic	Global Energy Minimization of Small Molecules Combining Constraint Logic Programming and Molecular Mechanics.	Journal of Chemical Information and Computer Sciences	1997	DBLP DOI BibTeX RDF

Publications of "Nada Lavrac" ( http://dblp.L3S.de/Authors/Nada_Lavrac )