Table of Contents

• Drug design by machine learning: ensemble learning for QSAR modelingYing Liu. [doi]
• Integrating knowledge-driven and data-driven approaches for the derivation of clinical prediction rulesMila Kwiatkowska, Anthony S. Atkins, Najib T. Ayas, C. Frank Ryan. [doi]
• Intelligent combination of kernels information for improved classificationAbdul Majid, Asifullah Khan, Anwar M. Mirza. [doi]
• Learning contextual behavior of text dataHemant Joshi, Coskun Bayrak. [doi]
• The data mining advisor: meta-learning at the service of practitionersChristophe G. Giraud-Carrier. [doi]
• Towards discovering organizational structure from email corpusDing Zhou, Yang Song, Hongyuan Zha, Ya Zhang. [doi]
• TSTMT: step towards an accurate Thai sign translationThammanoon Ditcharoen, Kanlaya Naruedomkul, Nick Cercone, Bundit Tipakorn. [doi]
• A new clustering algorithm using message passing and its applications in analyzing microarray dataHuimin Geng, Xutao Deng, Hesham H. Ali. [doi]
• Segmenting brain tumors using alignment-based featuresMark Schmidt, Ilya Levner, Russell Greiner, Albert Murtha, Aalo Bistritz. [doi]
• A comparison of dimensionality reduction techniques for text retrievalVishwa Vinay, Ingemar J. Cox, Kenneth R. Wood, Natasa Milic-Frayling. [doi]
• Fast cross-validation of kernel Fisher discriminant classifiersSenjian An, Wanquan Liu, Svetha Venkatesh. [doi]
• Creation and deployment of data mining-based intrusion detection systems in Oracle Database l0gMarcos M. Campos, Boriana L. Milenova. [doi]
• Intrusion detection in wireless networks using clustering techniques with expert analysisTaghi M. Khoshgoftaar, Shyam Varan Nath, Shi Zhong, Naeem Seliya. [doi]
• Data-centric automated data miningMarcos M. Campos, Peter J. Stengard, Boriana L. Milenova. [doi]
• Iterative weighting of phylogenetic profiles increases classification accuracyRoger A. Craig, Li Liao. [doi]
• Feature selection based on word-sentence relationPéter Schönhofen, András A. Benczúr. [doi]
• Direct evolution of hierarchical solutions with self-emergent substructuresXin Li, Chi Zhou, Weimin Xiao, Peter C. Nelson. [doi]
• Detecting temporally redundant association rulesMirko Böttcher, Martin Spott, Detlef Nauck. [doi]
• Comparing machine learning classification schemes - a GIS approachAlina Lazar, Bradley Shellito. [doi]
• Algorithms for parallel boostingFernando Lozano, Pedro Rangel. [doi]
• Censored Time Trees:::TM::: for predicting time to PSA recurrenceValentina Zubek, David Verbel, Olivier Saidi. [doi]
• A system of systems (SoS) design amplifierStuart Harvey Rubin. [doi]
• Decision rule extraction and reduction based on grey lattice classificationDaisuke Yamaguchi, Guodong Li, Kozo Mizutani, Takahiro Akabane, Masatake Nagai, Masatoshi Kitaoka. [doi]
• Attribute selection methods comparison for classification of diffuse large B-cell lymphomaJúlio C. Nievola, Helyane Bronoski Borges. [doi]
• Speeding-up text categorization in a grid computing environmentCatarina Silva, Bernardete Ribeiro, Uros Lotric. [doi]
• A Bayesian kernel for the prediction of neuron properties from binary gene profilesF. François Fleuret, Wulfram Gerstner. [doi]
• Efficient construction of relational featuresFilip Zelezný. [doi]
• Abduction and induction for learning models of inhibition in metabolic networksAlireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton. [doi]
• Fuzzy frequent pattern discovering based on recursive eliminationXiaomeng Wang, Christian Borgelt, Rudolf Kruse. [doi]
• Active learning for reducing bias and variance of a classifier using Jensen-Shannon divergenceMinoo Aminian. [doi]
• Visual interface for online watching of frequent itemset generation in Apriori and EclatAniket Mahanti, Reda Alhajj. [doi]
• Equating interestingness of causal rules via graded response theoryShinichi Hamano. [doi]
• Solving the traveling salesman problem through genetic algorithms with changing crossover operatorsRyouei Takahashi. [doi]
• Boosting of support vector machines with application to editingPedro Rangel, Fernando Lozano, Elkin García. [doi]
• On the discovery of semantically enhanced sequential patternsMehdi Adda, Petko Valtchev, Rokia Missaoui, Chabane Djeraba. [doi]
• Decoupling of clustering and classification steps in a cluster-based classificationRay R. Hashemi, Mahmood Bahar, Christopher Childers, Alexander A. Tyler. [doi]
• Optimization approaches for semi-supervised learningYasutoshi Yajima, Takashi Hoshiba. [doi]
• TASOM-based lip tracking using the color and geometry of the faceMahsa Kamali Moghaddam, Reza Safabakhsh. [doi]
• Effective data mining by integrating genetic algorithm into the data preprocessing phaseJanaki Gopalan, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker. [doi]
• Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance LearningThomas Villmann, Frank-Michael Schleif, Barbara Hammer. [doi]
• Multi-label associative classification of medical documents from MEDLINERafal Rak, Lukasz A. Kurgan, Marek Reformat. [doi]
• A new graph-based evolutionary approach to sequence clusteringGül Nildem Demir, A. Sima Etaner-Uyar, Sule Gündüz Ögüdücü. [doi]
• Identifying noise in an attribute of interestTaghi M. Khoshgoftaar, Jason Van Hulse. [doi]
• The application of machine learning techniques to the prediction of erectile dysfunctionHui Liu, Ash Kshirsagar, Craig Niederberger. [doi]
• Discriminating transmembrane proteins from signal peptides using SVM-Fisher approachLi Liao, Robel Y. Kahsay, Guang R. Gao. [doi]
• Depth of anaesthesia assessment with generative polyspectral modelsIead Rezek, Stephen J. Roberts, Ellini Siva, R. Conradt. [doi]
• Class-dependant resampling for medical applicationsRosa Maria Valdovinos, José Salvador Sánchez. [doi]
• Automatic defect classification using boostingSang Hwa Lee, Hong Il Kim, Nam Ik Cho, Yu Han Jeong, Ki Suk Chung, Chung Sam Jun. [doi]
• Knowledge acquisition through machine learning: minimising expert s effortRicardo Blanco-Vega, José Hernández-Orallo, M. José Ramírez-Quintana. [doi]
• Parallel algorithm for control chart pattern recognitionM. Arif Wani, Sumia Rashid. [doi]
• Incorporating prior knowledge into Q-learning for drug delivery individualizationAdam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier. [doi]
• Scopira: a pattern recognition application framework for biomedical datasetsRodrigo A. Vivanco, Aleksander B. Demko, Nick J. Pizzi. [doi]
• An efficient multicategory classifier based on AdaBoostingHong Il Kim, Sang Hwa Lee, Nam Ik Cho. [doi]
• Face recognition using OPRA-facesEffrosini Kokiopoulou, Yousef Saad. [doi]
• Self bounding genetic algorithms for machine learningFernando Lozano, Vladimir Koltchinskii. [doi]
• Exploratory data mining lead by text mining using a novel high dimensional clustering algorithmRasika Amarasiri, Jason Ceddia, Damminda Alahakoon. [doi]
• Predicting software suitability using a Bayesian belief networkJustin M. Beaver, Guy A. Schiavone, Joseph Berrios. [doi]
• Switching for functional localization of genetic network programmingShinji Eto, Kotaro Hirasawa, Jinglu Hu. [doi]
• New filter-based feature selection criteria for identifying differentially expressed genesLit-Hsin Loo, Samuel Roberts, Leonid Hrebien, Moshe Kam. 10 [doi]
• Sparse classifiers for Automated HeartWall Motion Abnormality DetectionGlenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, Bharat Rao, A. Katz. 194-200 [doi]