Search results for "predictive accuracy"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Rongfei Jia, Maozhong Jin, Chao Liu 0002	Using Temporal Information to Improve Predictive Accuracy of Collaborative Filtering Algorithms.	APWeb	2010	DBLP DOI BibTeX RDF	collaborative filtering, temporal information, predictive accuracy
2	Chun-Yuan Lin, Ken-Li Lin, Chuen-Der Huang, Hsiu-Ming Chang, Chiao Yun Yang, Chin-Teng Lin, Chuan Yi Tang, D. Frank Hsu	Feature Selection and Combination Criteria for Improving Predictive Accuracy in Protein Structure Classification.	BIBE	2005	DBLP DOI BibTeX RDF
2	Lucas R. Hope, Kevin B. Korb	A Bayesian Metric for Evaluating Machine Learning Algorithms.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF	Bayesian evaluation, information reward, Predictive accuracy
2	Lucas R. Hope, Kevin B. Korb	Bayesian Information Reward.	Australian Joint Conference on Artificial Intelligence	2002	DBLP DOI BibTeX RDF	information reward, Bayesian evaluation, evaluation of machine learners, Evaluation metrics, predictive accuracy
2	Hilan Bensusan, Alexandros Kalousis	Estimating the Predictive Accuracy of a Classifier.	ECML	2001	DBLP DOI BibTeX RDF
2	Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes	The Evaluation of Predictive Learners: Some Theoretical and Empirical Results.	ECML	2001	DBLP DOI BibTeX RDF	information reward, machine learning, Evaluation, predictive accuracy, scoring rules, Kullback-Leibler distance
2	Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan	Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study.	ECML	2000	DBLP DOI BibTeX RDF
2	Ed Keedwell, Florian Bessler, Ajit Narayanan, Dragan A. Savic	From data mining to rule refining A new tool for post data mining rule optimisation.	ICTAI	2000	DBLP DOI BibTeX RDF	post data mining rule optimisation, rule refining, Rule Refiner, rule visualisation, data mining, software tool, expert systems, expert systems, optimisation, very large databases, large databases, predictive accuracy, rule sets
2	Sarah Brocklehurst, P. Y. Chan 0002, Bev Littlewood, John Snell	Recalibrating Software Reliability Models.	IEEE Trans. Software Eng.	1990	DBLP DOI BibTeX RDF	software reliability models recalibrating, u-plot, software reliability, simulation results, predictive accuracy
1	Sohail Sarwar, Zia Ul-Qayyum, Owais Ahmed Malik	A hybrid intelligent system to improve predictive accuracy for cache prefetching.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Mukta Paliwal, Usha A. Kumar	The predictive accuracy of feed forward neural networks and multiple regression in the case of heteroscedastic data.	Appl. Soft Comput.	2011	DBLP DOI BibTeX RDF
1	Seyed Yahya Anvar, Allan Tucker, Veronica Vinciotti, Andrea Venema, Gert-Jan B. van Ommen, Silvere M. van der Maarel, Vered Raz, Peter A. C. 't Hoen	Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy.	PLoS Computational Biology	2011	DBLP DOI BibTeX RDF
1	Richard M. Simon, Jyothi Subramanian, Ming-Chung Li, Supriya Menezes	Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data.	Briefings in Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Mohammad Siami, Mohammad R. Gholamian, Javad Basiri, Mohammad Fathian	An Application of Locally Linear Model Tree Algorithm for Predictive Accuracy of Credit Scoring.	MEDI	2011	DBLP DOI BibTeX RDF
1	Stephen G. MacDonell	The Impact of Sampling and Rule Set Size on Generated Fuzzy Inference System Predictive Accuracy: Analysis of a Software Engineering Data Set.	EANN/AIAI	2011	DBLP DOI BibTeX RDF
1	Eyke Hüllermeier, Johannes Fürnkranz	On predictive accuracy and risk minimization in pairwise label ranking.	J. Comput. Syst. Sci.	2010	DBLP DOI BibTeX RDF
1	Roman Garnett, Michael A. Osborne, Stephen J. Roberts	Bayesian optimization for sensor set selection.	IPSN	2010	DBLP DOI BibTeX RDF	sampling design, spatial learning, sensor networks, global optimization, experimental design, Gaussian processes, Bayesian methods, sensor selection
1	Deepak Agarwal, Rahul Agrawal, Rajiv Khanna, Nagaraj Kota	Estimating rates of rare events with multiple hierarchies through scalable log-linear models.	KDD	2010	DBLP DOI BibTeX RDF	computational advertising, count data, display advertising, gamma-poisson, spars contingency tables, spike and slab prior
1	Christopher DuBois, Padhraic Smyth	Modeling relational events via latent classes.	KDD	2010	DBLP DOI BibTeX RDF	collapsed gibbs sampling, relational data
1	Carlos Nascimento Silla Jr., Alessandro L. Koerich, Celso A. A. Kaestner	Improving automatic music genre classification with hybrid content-based feature vectors.	SAC	2010	DBLP DOI BibTeX RDF	feature selection, music genre classification
1	Deepak Agarwal, Bee-Chung Chen	fLDA: matrix factorization through latent dirichlet allocation.	WSDM	2010	DBLP DOI BibTeX RDF	latent factor model, supervised topic model, recommender systems, collaborative filtering, graphical model, bayesian hierarchical model
1	I-Cheng Yeh, Che-hui Lien	The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients.	Expert Syst. Appl.	2009	DBLP DOI BibTeX RDF
1	Rachael Rafter, Michael P. O'Mahony, Neil J. Hurley, Barry Smyth	What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective.	UMAP	2009	DBLP DOI BibTeX RDF	Recommender Systems, Collaborative Filtering, Predictive Accuracy
1	Meghana Deodhar, Joydeep Ghosh	Mining for the most certain predictions from dyadic data.	KDD	2009	DBLP DOI BibTeX RDF	ranking predictions, regression, co-clustering, dyadic data
1	Shibin Qiu, Terran Lane	A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction.	IEEE/ACM Trans. Comput. Biology Bioinform.	2009	DBLP DOI BibTeX RDF	multiple kernel heuristics, QCQP optimization, RNA interference, siRNA efficacy, support vector regression, Multiple kernel learning
1	David Martens, Bart Baesens, Tony Van Gestel	Decompositional Rule Extraction from Support Vector Machines by Active Learning.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF
1	Pasquale Rullo, Veronica L. Policicchio, Chiara Cumbo, Salvatore Iiritano	Olex: Effective Rule Learning for Text Categorization.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF
1	Fabian Bohnert, Ingrid Zukerman	Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits.	Australasian Conference on Artificial Intelligence	2009	DBLP DOI BibTeX RDF
1	Leila Shila Shafti, Eduardo Pérez	Feature Construction and Feature Selection in Presence of Attribute Interactions.	HAIS	2009	DBLP DOI BibTeX RDF	genetic algorithms, data reduction, feature construction
1	Marek Krzystanek, Tadeusz Lasota, Bogdan Trawinski	Comparative Analysis of Evolutionary Fuzzy Models for Premises Valuation Using KEEL.	ICCCI	2009	DBLP DOI BibTeX RDF	real estate appraisal, KEEL, genetic fuzzy systems
1	Tadeusz Lasota, Piotr Sachnowski, Bogdan Trawinski	Comparative Analysis of Regression Tree Models for Premises Valuation Using Statistica Data Miner.	ICCCI	2009	DBLP DOI BibTeX RDF	real estate appraisal, Statistica, machine learning, regression trees
1	Paolo Soda	A Hybrid Approach Handling Imbalanced Datasets.	ICIAP	2009	DBLP DOI BibTeX RDF
1	Samuel Robert Reid, Gregory Z. Grudic	Regularized Linear Models in Stacked Generalization.	MCS	2009	DBLP DOI BibTeX RDF
1	Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb	FaSS: Ensembles for Stable Learners.	MCS	2009	DBLP DOI BibTeX RDF	stable learners, Local models
1	Kai Ming Ting, Lian Zhu	Boosting Support Vector Machines Successfully.	MCS	2009	DBLP DOI BibTeX RDF	support vector machines, Boosting, local models
1	Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao	Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees.	MLDM	2009	DBLP DOI BibTeX RDF	Ensemble Decision Trees, Data Streams, Noise, Concept Drift
1	Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu	Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data.	PAKDD	2009	DBLP DOI BibTeX RDF	data streams, parameter estimation, Random decision trees
1	Weiwei Cheng, Eyke Hüllermeier	Combining Instance-Based Learning and Logistic Regression for Multilabel Classification.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Tuyen N. Huynh, Raymond J. Mooney	Max-Margin Weight Learning for Markov Logic Networks.	ECML/PKDD	2009	DBLP DOI BibTeX RDF
1	Martin Eric Müller	Modalities, Relations, and Learning.	RelMiCS	2009	DBLP DOI BibTeX RDF
1	Hao Jia, Fengdi Shu, Ye Yang, Qing Wang	Predicting Fault-Prone Modules: A Comparative Study.	SEAFOOD	2009	DBLP DOI BibTeX RDF
1	Fabian Bohnert, Ingrid Zukerman	Non-intrusive Personalisation of the Museum Experience.	UMAP	2009	DBLP DOI BibTeX RDF
1	Bao Rong Chang, Hsiu Fen Tsai	Quantum minimization for adapting ANFIS outputs to its nonlinear generalized autoregressive conditional heteroscedasticity.	Appl. Intell.	2009	DBLP DOI BibTeX RDF	ANFIS/NGARCH composite model, Quantum minimization, Overshoot effect, Volatility clustering, Nonlinear heteroscedasticity, Time-series prediction
1	Nicholas Holden, Alex Alves Freitas	Hierarchical classification of protein function with ensembles of rules and particle swarm optimisation.	Soft Comput.	2009	DBLP DOI BibTeX RDF	Hierarchical classification, Particle swarm optimisation, Protein function prediction
1	Taghi M. Khoshgoftaar, Pierre Rebours, Naeem Seliya	Software quality analysis by combining multiple projects and learners.	Software Quality Journal	2009	DBLP DOI BibTeX RDF	Multiple software metrics repositories, Software quality classification model, Multiple learners, Cost of misclassification, Data mining, Majority voting
1	Helyane Bronoski Borges, Júlio C. Nievola	Gene Selection from Microarray Data.	Intelligent Text Categorization and Clustering	2009	DBLP DOI BibTeX RDF
1	Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes	Predictive accuracy comparison of fuzzy models for software development effort of small programs.	Journal of Systems and Software	2008	DBLP DOI BibTeX RDF
1	Jiewei Li, Zhihua Cai	A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression.	ISICA	2008	DBLP DOI BibTeX RDF	Support vector Regression, parameter optimization, predictive accuracy, Differential Evolution algorithm
1	Nikolaos Mittas, Lefteris Angelis	Combining regression and estimation by analogy in a semi-parametric model for software cost estimation.	ESEM	2008	DBLP DOI BibTeX RDF	semi-parametric model, software cost estimation, estimation by analogy, least squares regression
1	Oras F. Baker, Al Hassani, Sameem Abdul Kareem	The use of soft computing approaches "FL" models for medical prognosis "NPC".	iiWAS	2008	DBLP DOI BibTeX RDF	adaptive neuro fuzzy system, nasopharyngeal carcinoma, fuzzy logic, soft computing, back propagation, prognosis
1	Ajit Paul Singh, Geoffrey J. Gordon	Relational learning via collective matrix factorization.	KDD	2008	DBLP DOI BibTeX RDF	stochastic approximation, relational learning, matrix factorization
1	Marco Degemmis, Pasquale Lops, Giovanni Semeraro, Pierpaolo Basile	Integrating tags in a semantic content-based recommender.	RecSys	2008	DBLP DOI BibTeX RDF	machine learning, recommender systems, word sense disambiguation, collaborative tagging
1	Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner	Imputation-boosted collaborative filtering using machine learning classifiers.	SAC	2008	DBLP DOI BibTeX RDF	imputation techniques, machine learning classifiers, recommendation systems, collaborative filtering, incomplete data
1	Susanna L. Lamers, Marco Salemi, Michael S. McGrath, Gary B. Fogel	Prediction of R5, X4, and R5X4 HIV-1 Coreceptor Usage with Evolved Neural Networks.	IEEE/ACM Trans. Comput. Biology Bioinform.	2008	DBLP DOI BibTeX RDF	phenotype prediction, tropism, dual-tropic viruses, evolutionary computation, artificial neural networks, Computational intelligence, HIV, AIDS
1	Rayner Alfred	DARA: Data Summarisation with Feature Construction.	Asia International Conference on Modelling and Simulation	2008	DBLP DOI BibTeX RDF	Descriptive Induction Algorithm, Clustering, Feature Construction, Data summarisation
1	Zuriahati Mohd Yunos, Siti Mariyam Hj. Shamsuddin, Roselina Sallehuddin	Data Modeling for Kuala Lumpur Composite Index with ANFIS.	Asia International Conference on Modelling and Simulation	2008	DBLP DOI BibTeX RDF	Neurofuzzy, Forecasting, Hybrid, ANFIS
1	S. S. Nanuwa, H. Seker	Investigation into the role of sequence-driven-features for prediction of protein structural classes.	BIBE	2008	DBLP DOI BibTeX RDF
1	Huseyin Seker	Novel weighted amino acid composition for prediction of protein structural classes within the context of multi-sensor data fusion approach.	BIBE	2008	DBLP DOI BibTeX RDF
1	Huiyan Wang	A Computerized Diagnostic Model Based on Naive Bayesian Classifier in Traditional Chinese Medicine.	BMEI	2008	DBLP DOI BibTeX RDF	quantitative diagnosis, TCM
1	Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar	Efficient Feature Selection in the Presence of Multiple Feature Classes.	ICDM	2008	DBLP DOI BibTeX RDF
1	Jun Won Lee, Christophe G. Giraud-Carrier	Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features.	ICMLA	2008	DBLP DOI BibTeX RDF
1	Jun Won Lee, Christophe G. Giraud-Carrier	New Insights into Learning Algorithms and Datasets.	ICMLA	2008	DBLP DOI BibTeX RDF
1	Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Nair	Bayesian Additive Regression Trees-Based Spam Detection for Enhanced Email Privacy.	ARES	2008	DBLP DOI BibTeX RDF	BART, NNet, classification, SVM, spam, logistic regression, random forests, CART
1	Oliver Obst, X. Rosalind Wang, Mikhail Prokopenko	Using Echo State Networks for Anomaly Detection in Underground Coal Mines.	IPSN	2008	DBLP DOI BibTeX RDF	coal mines, sensor networks, bayesian networks, anomaly detection, recurrent neural networks, echo state networks
1	Jianhong Luo, Dezhao Chen	Fuzzy Information Granulation Based Decision Support Applications.	ISIP	2008	DBLP DOI BibTeX RDF	classification, knowledge discovery, granulation
1	Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson	cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes.	ANTS Conference	2008	DBLP DOI BibTeX RDF
1	P. J. Uren, R. Mike Cameron-Jones, Arthur H. J. Sale	Improving Promoter Prediction Using Multiple Instance Learning.	Australasian Conference on Artificial Intelligence	2008	DBLP DOI BibTeX RDF
1	Malgorzata Kretowska	Ensemble of Dipolar Neural Networks in Application to Survival Data.	ICAISC	2008	DBLP DOI BibTeX RDF
1	Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower	An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction.	ICARIS	2008	DBLP DOI BibTeX RDF	data mining, clustering, classification, bioinformatics, artificial immune systems
1	Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg	Protein Fold Discovery Using Stochastic Logic Programs.	Probabilistic Inductive Logic Programming	2008	DBLP DOI BibTeX RDF
1	Ana Luísa Duboc, Aline Paes, Gerson Zaverucha	Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples.	ILP	2008	DBLP DOI BibTeX RDF
1	Shibin Qiu, Terran Lane	Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction.	ISBRA	2008	DBLP DOI BibTeX RDF
1	Sholom M. Weiss, Nitin Indurkhya	Estimating Sales Opportunity Using Similarity-Based Methods.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
1	Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao	Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm.	PRIB	2008	DBLP DOI BibTeX RDF	genetic algorithm, classification, wrapper, Linear discriminant analysis, gene selection
1	DucDung Nguyen, Kazunori Matsumoto, Kazuo Hashimoto, Yasuhiro Takishima, Daichi Takatori, Masahiro Terabe	Multi-class Support Vector Machine Simplification.	PRICAI	2008	DBLP DOI BibTeX RDF	reduced set method, support vector machines, kernel-based methods
1	Ashish Sureka, Pranav Prabhakar Mirajkar	An Empirical Study on the Effect of Different Similarity Measures on User-Based Collaborative Filtering Algorithms.	PRICAI	2008	DBLP DOI BibTeX RDF	Data Mining, Recommendation Systems, Collaborative Filtering, Similarity Measures
1	Claudio A. Policastro, André Carlos Ponce Leon Ferreira de Carvalho, Alexandre C. B. Delbem	A hybrid case adaptation approach for case-based reasoning.	Appl. Intell.	2008	DBLP DOI BibTeX RDF	Case adaptation, Knowledge acquisition, Hybrid systems, Case-based reasoning
1	Gary M. Weiss, Ye Tian	Maximizing classifier utility when there are data acquisition and modeling costs.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Data mining, Machine learning, Decision trees, Active learning, Induction, Cost-sensitive learning, Utility-based data mining
1	Elaine J. Weyuker, Thomas J. Ostrand, Robert M. Bell	Do too many cooks spoil the broth? Using the number of developers to enhance defect prediction models.	Empirical Software Engineering	2008	DBLP DOI BibTeX RDF	Negative binomial model, Developer counts, Empirical study, Software faults
1	Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel	Decision trees for hierarchical multi-label classification.	Machine Learning	2008	DBLP DOI BibTeX RDF	Precision-recall analysis, Decision trees, Hierarchical classification, Multi-label classification, Functional genomics
1	Feng Tan, Xuezheng Fu, Yanqing Zhang, Anu G. Bourgeois	A genetic algorithm-based method for feature subset selection.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Microarray gene expression data analysis, Genetic algorithm, Feature selection, Gene Selection
1	Mamoun Awad, Latifur Khan, Bhavani M. Thuraisingham	Predicting WWW surfing using multiple evidence combination.	VLDB J.	2008	DBLP DOI BibTeX RDF
1	Robin Kramer, Dong Xu	Projecting Gene Expression Trajectories through Inducing Differential Equations from Microarray Time Series Experiments.	Signal Processing Systems	2008	DBLP DOI BibTeX RDF	dynamic trajectory, time series, singular value decomposition, microarray, gene expression, differential equation
1	Yuh-Shyan Chen, Shin-Yi Ann, Yun-Wei Lin	VE-mobicast: a variant-egg-based mobicast routing protocol for sensornets.	Wireless Networks	2008	DBLP DOI BibTeX RDF	Mobicast, Routing, Mobile computing, Distribution, Wireless communication, Sensornet
1	Doina Caragea, Dianne Cook, Hadley Wickham, Vasant Honavar	Visual Methods for Examining SVM Classifiers.	Visual Data Mining	2008	DBLP DOI BibTeX RDF
1	George Lekakos, George M. Giaglis	A hybrid approach for improving predictive accuracy of collaborative filtering algorithms.	User Model. User-Adapt. Interact.	2007	DBLP DOI BibTeX RDF	Recommender systems, Personalization, Collaborative filtering, Lifestyle
1	Lara Lusa, Rosalba Miceli, Luigi Mariani	Estimation of predictive accuracy in survival analysis using R and S-PLUS.	Computer Methods and Programs in Biomedicine	2007	DBLP DOI BibTeX RDF
1	Ali Idri, Azeddine Zahi, Emilia Mendes, Abdelali Zakrani	Software Cost Estimation Models Using Radial Basis Function Neural Networks.	IWSM/Mensura	2007	DBLP DOI BibTeX RDF	Neural Networks, Radial basis function neural networks, predictive accuracy, Software effort estimation
1	Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Nair	A comparison of machine learning techniques for phishing detection.	eCrime Researchers Summit	2007	DBLP DOI BibTeX RDF	BART, NNet, machine learning, classification, SVM, logistic regression, phishing, random forests, CART
1	Christopher Stewart, Terence Kelly, Alex Zhang	Exploiting nonstationarity for performance prediction.	EuroSys	2007	DBLP DOI BibTeX RDF	LAR regression, mutli-tier, noninvasive, realistic workloads, performance prediction, enterprise, internet services, nonstationarity
1	Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson	Particle swarm and bayesian networks applied to attribute selection for protein functional classification.	GECCO (Companion)	2007	DBLP DOI BibTeX RDF	data mining, bayesian networks, bioinformatics, particle swarm, attribute selection, naive bayes classifier
1	David C. Wedge, Simon J. Gaskell, Simon J. Hubbard, Douglas B. Kell, King Wai Lau, Claire Eyers	Peptide detectability following ESI mass spectrometry: prediction using genetic programming.	GECCO	2007	DBLP DOI BibTeX RDF	AUROC, classification, genetic programming, proteomics, mass spectrometry, input selection
1	David S. Vogel, Ognian Asparouhov, Tobias Scheffer	Scalable look-ahead linear regression trees.	KDD	2007	DBLP DOI BibTeX RDF	linear regression tree, regression, predictive model, scalable algorithms, model tree
1	David Hecht, Gary B. Fogel	High-Throughput Ligand Screening via Preclustering and Evolved Neural Networks.	IEEE/ACM Trans. Comput. Biology Bioinform.	2007	DBLP DOI BibTeX RDF	medicine and science, evolutionary computation, artificial neural networks, Computational intelligence
1	Jacky Keung, Barbara Kitchenham	Optimising Project Feature Weights for Analogy-Based Software Cost Estimation using the Mantel Correlation.	APSEC	2007	DBLP DOI BibTeX RDF
1	Gil Rachlin, Mark Last, Dima Alberg, Abraham Kandel	ADMIRAL: A Data Mining Based Financial Trading System.	CIDM	2007	DBLP DOI BibTeX RDF
1	Ranjit Abraham, Jay B. Simha, S. S. Iyengar	Medical Datamining with a New Algorithm for Feature Selection and Naive Bayesian Classifier.	ICIT	2007	DBLP DOI BibTeX RDF
1	Chien-I Lee, Cheng-Jung Tsai, Ya-Ru Yang, Wei-Pang Yang	A Top-Down and Greedy Method for Discretization of Continuous Attributes.	FSKD	2007	DBLP DOI BibTeX RDF
1	Jian-guo Yang, Zhi-Jun Lv, Qian Xiang	Yarn Properties Prediction Using Support Vector Machines: An Intelligent Reasoning Method.	FSKD	2007	DBLP DOI BibTeX RDF
1	Xiong Qiufen, Gao Jie, Liu Huanzhu, Shao Mingxuan	Physical Analysis of Precipitation Factors Based on SVM Method.	ICDM Workshops	2007	DBLP DOI BibTeX RDF