Table of Contents

• Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace DiscretizationKlaus Truemper. 1-15 [doi]
• Selection of Subsets of Ordered Features in Machine LearningOleg Seredin, Andrey Kopylov, Vadim Mottl. 16-28 [doi]
• Combination of Vector Quantization and VisualizationOlga Kurasova, Alma Molyte. 29-43 [doi]
• Discretization of Target Attributes for Subgroup DiscoveryKatherine Moreland, Klaus Truemper. 44-52 [doi]
• Preserving Privacy in Time Series Data Classification by DiscretizationYe Zhu, Yongjian Fu, Huirong Fu. 53-67 [doi]
• Using Resampling Techniques for Better Quality DiscretizationTaimur Qureshi, Djamel A. Zighed. 68-81 [doi]
• A Large Margin Classifier with Additional FeaturesXinwang Liu, Jianping Yin, En Zhu, Guomin Zhang, Yubin Zhan, Miaomiao Li. 82-95 [doi]
• Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based ClassifierBashar Awwad Shiekh Hasan, John Q. Gan. 96-106 [doi]
• Optimal Double-Kernel Combination for ClassificationFeng Wang, Hongbin Zhang. 107-122 [doi]
• Efficient AdaBoost Region ClassificationM. Moed, Evgueni N. Smirnov. 123-136 [doi]
• A Linear Classification Method in a Very High Dimensional Space Using Distributed RepresentationTakao Kobayashi, Ikuko Shimizu. 137-147 [doi]
• PMCRI: A Parallel Modular Classification Rule Induction FrameworkFrederic T. Stahl, Max A. Bramer, Mo Adda. 148-162 [doi]
• Dynamic Score Combination: A Supervised and Unsupervised Score Combination MethodRoberto Tronci, Giorgio Giacinto, Fabio Roli. 163-177 [doi]
• ODDboost: Incorporating Posterior Estimates into AdaBoostOlga Barinova, Dmitry Vetrov. 178-190 [doi]
• Ensemble Learning: A Study on Different Variants of the Dynamic Selection ApproachJoão Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa. 191-205 [doi]
• Relevance and Redundancy Analysis for Ensemble ClassifiersRakkrit Duangsoithong, Terry Windeatt. 206-220 [doi]
• Drift-Aware Ensemble RegressionFrank Rosenthal, Peter Benjamin Volk, Martin Hahmann, Dirk Habich, Wolfgang Lehner. 221-235 [doi]
• Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision TreesPei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao. 236-250 [doi]
• Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of RedundanciesCorrado Loglisci, Donato Malerba. 251-265 [doi]
• Pattern Mining with Natural Language Processing: An Exploratory ApproachAna Cristina Mendes, Cláudia Antunes. 266-279 [doi]
• Is the Distance Compression Effect Overstated? Some Theory and ExperimentationStephen France, Douglas Carroll. 280-294 [doi]
• Fast Local Support Vector Machines for Large DatasetsNicola Segata, Enrico Blanzieri. 295-310 [doi]
• The Effect of Domain Knowledge on Rule Extraction from Support Vector MachinesNahla H. Barakat, Andrew P. Bradley. 311-321 [doi]
• Towards B-Coloring of SOMHaytham Elghazel, Khalid Benabdeslem. 322-336 [doi]
• CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering QualityTarek Smaoui, Sascha Müller 0002, Christian Müller-Schloer. 337-346 [doi]
• Agent-Based Non-distributed and Distributed ClusteringIreneusz Czarnowski, Piotr Jedrzejowicz. 347-360 [doi]
• An Evidence Accumulation Approach to Constrained Clustering CombinationDaniel Duarte Abdala, Xiaoyi Jiang. 361-371 [doi]
• Fast Spectral Clustering with Random Projection and SamplingTomoya Sakai, Atsushi Imiya. 372-384 [doi]
• How Much ::::True:::: Structure Has Been Discovered?Frank Höppner. 385-397 [doi]
• Efficient Clustering of Web-Derived Data SetsLuís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar. 398-412 [doi]
• A Probabilistic Approach for Constrained Clustering with Topological MapKhalid Benabdeslem, Jihene Snoussi. 413-426 [doi]
• Relational Frequent Patterns Mining for Novelty Detection from Data StreamsMichelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba. 427-439 [doi]
• A Comparative Study of Outlier Detection AlgorithmsCharlie Isaksson, Margaret H. Dunham. 440-453 [doi]
• Outlier Detection with Explanation FacilityManuel Mejía-Lavalle, Atlántida Sánchez Vivar. 454-464 [doi]
• Concept Learning from (Very) Ambiguous ExamplesDominique Bouthinon, Henry Soldano, Véronique Ventos. 465-478 [doi]
• Finding Top-::::N:::: Pseudo Formal Concepts with Core IntentsYoshiaki Okubo, Makoto Haraguchi. 479-493 [doi]
• On Fixed Convex Combinations of No-Regret LearnersJan-P. Calliess. 494-504 [doi]
• An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global ExtremumsKemal Yüksek, Serhat Cakaloglu. 505-515 [doi]
• The Needles-in-Haystack ProblemKatherine Moreland, Klaus Truemper. 516-524 [doi]
• An Evidence-Driven Probabilistic Inference Framework for Semantic Image UnderstandingSpiros Nikolopoulos, Georgios Th. Papadopoulos, Ioannis Kompatsiaris, Ioannis Patras. 525-539 [doi]
• Detection of Masses in Mammographic Images Using Simpson s Diversity Index in Circular Regions and SVMAndré Pereira Nunes, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva. 540-553 [doi]
• Mining Lung Shape from X-Ray ImagesVassili Kovalev, Aliaksandr Prus, Pavel Vankevich. 554-568 [doi]
• A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite DataPan Xiong, Yaxin Bi, Xuhui Shen. 569-581 [doi]
• Spectrum Steganalysis of WAV Audio StreamsQingzhong Liu, Andrew H. Sung, Mengyu Qiao. 582-593 [doi]
• Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines ApproachElisabetta Fersini, Enza Messina, G. Arosio, Francesco Archetti. 594-602 [doi]
• Learning with a Quadruped Chopstick RobotWei-Chung Lee, Jong-Chen Chen, Shou-zhe Wu, Kuo-Ming Lin. 603-616 [doi]
• Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction SchemesKaspar Riesen, Horst Bunke. 617-631 [doi]
• Using Graph-Kernels to Represent Semantic Information in Text ClassificationTeresa Gonçalves, Paulo Quaresma. 632-646 [doi]
• A General Framework of Feature Selection for Text CategorizationHongfang Jing, Bin Wang, Yahui Yang, Yan Xu. 647-662 [doi]
• New Semantic Similarity Based Model for Text Clustering Using Extended Gloss OverlapsWalaa K. Gad, Mohamed S. Kamel. 663-677 [doi]
• Learning Betting Tips from Users Bet SelectionsErik Strumbelj, Marko Robnik-Sikonja, Igor Kononenko. 678-688 [doi]
• An Approach to Web-Scale Named-Entity DisambiguationLuís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar. 689-703 [doi]
• A General Learning Method for Automatic Title Extraction from HTML PagesSahar Changuel, Nicolas Labroche, Bernadette Bouchon-Meunier. 704-718 [doi]
• Regional Pattern Discovery in Geo-referenced Datasets Using PCAOner Ulvi Celepcikay, Christoph F. Eick, Carlos Ordonez. 719-733 [doi]
• Memory-Based Modeling of Seasonality for Prediction of Climatic Time SeriesDaniel Nikovski, Ganesan Ramachandran. 734-748 [doi]
• A Neural Approach for SME s Credit Risk Analysis in TurkeyGülnur Derelioglu, Fikret S. Gürgen, Nesrin Okay. 749-759 [doi]
• Assisting Data Mining through Automated PlanningFernando Fernández, Daniel Borrajo, Susana Fernández, David Manzano. 760-774 [doi]
• Predictions with Confidence in ApplicationsMikhail Dashevskiy, Zhiyuan Luo. 775-786 [doi]
• Aligning Bayesian Network Classifiers with Medical ContextsLinda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser. 787-801 [doi]
• Assessing the Eligibility of Kidney Transplant DonorsFrancisco Reinaldo, Carlos Fernandes, Md. Anishur Rahman, Andreia Malucelli, Rui Camacho. 802-809 [doi]
• Lung Nodules Classification in CT Images Using Simpson s Index, Geometrical Measures and One-Class SVMCleriston Araujo da Silva, Aristófanes Corrêa Silva, Stelmo Magalhães Barros Netto, Anselmo Cardoso de Paiva, Geraldo Braz Junior, Rodolfo Acatauassu Nunes. 810-822 [doi]