| Attribute Discretization and Data Preparation |
| Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization / Klaus Truemper |
| Selection of Subsets of Ordered Features in Machine Learning / O. Seredin ; A. Kopylov ; V. Mottl |
| Combination of Vector Quantization and Visualization / Olga Kurasova ; Alma Molyte |
| Discretization of Target Attributes for Subgroup Discovery / Katherme Moreland |
| Preserving Privacy in Time Series Data Classification by Discretization / Ye Zhu ; Yongjian Fu ; Huirong Fu |
| Using Resampling Techniques for Better Quality Discretization / Tairaur Qureshi ; Djamel A. Zighed |
| Classification |
| A Large Margin Classifier with Additional Features / Xinwang Liu ; Jianping Yin ; En Zhu ; Guomin Zhang ; Yubin Zhan ; Miaomiao Li |
| Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier / Bashar Awwad ; Shiekh Hasan ; John Q. Can |
| Optimal Double-Kernel Combination for Classification / Feng Wang ; Hongbin Zhang |
| Efficient AdaBoost Region Classification / M. Moed ; E.N. Smirnov |
| A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation / Takao Kobayashi ; Ikuko Shimizu |
| PMCRI: A Parallel Modular Classification Rule Induction Framework / Frederic Stahl ; Max Bramer ; Mo Adda |
| Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method / Roberto Tronci ; Giorgio Giacmto ; Fabio Roli |
| ODDboost: Incorporating Posterior Estimates into AdaBoost / Olga Barinova ; Dmitry Vetrov |
| Ensemble Classifier Learning |
| Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach / João Mendes-Moreira ; Alipio Mario Jorge ; Carlos Soares ; Jorge Freire de Sousa |
| Relevance and Redundancy Analysis for Ensemble Classifiers / Rakkrit Duangsoithong ; Terry Windeatt |
| Drift-A ware Ensemble Regression / Frank Rosenthal ; Peter Benjamin Volk ; Martin Hahmann ; Dirk Habich ; Wolfgang Lehner |
| Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees / Peipei Li ; Xuegang Hu ; Qianhui Liang ; Yunjun Gao |
| Association Rules and Pattern Mining |
| Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies / Corrado Loglisci ; Donato Malerba |
| Pattern Mining with Natural Language Processing: An Exploratory Approach / Ana Cristina Mendes ; Claudia Antunes |
| Is the Distance Compression Effect Overstated? Some Theory and Experimentation / Stephen France ; Douglas Carroll |
| Support Vector Machines |
| Fast Local Support Vector Machines for Large Datasets / Nicola Segata ; Enrico Blanzieri |
| The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines / Nahla Barakat ; Andrew P. Bradley |
| Towards B-Coloring of SOM / Haythara Elghazel ; Khalid Benabdeslem |
| Clustering |
| CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality / Tarek Smaoui ; Sascha Müller ; Christian Müller-Schloer |
| Agent-Based Non-distributed and Distributed Clustering / Ireneusz Czamowski ; Piotr Jedrzejowicz |
| An Evidence Accumulation Approach to Constrained Clustering Combination / Daniel Duarie Abdala ; Xiaoyi Jiang |
| Fast Spectral Clustering with Random Projection and Sampling / Tomoya Sakai ; Atsushi Imiya |
| How Much True Structure Has Been Discovered?: Validating Explorative Clustering on a Hold-Out Test Set / F. Höppner |
| Efficient Clustering of Web-Derived Data Sets / LuÃs Sannento ; Alexander Kehlenbeck ; Eugénio Oliveira ; Lyle Ungar |
| A Probabilistic Approach for Constrained Clustering with Topological Map / Jihene Snoussi |
| Novelty and Outlier Detection |
| Relational Frequent Patterns Mining for Novelty Detection from Data Streams / Michelangelo Ceci ; Annalisa Appice ; Costantina Caruso ; Fabio Fumarola ; Carmine Valeiite |
| A Comparative Study of Outlier Detection Algorithms / Charlie Isaksson ; Margaret H. Dunham |
| Outlier Detection with Explanation Facility / Manuel MejÃa-Lavalle ; Atlántida Sánchez Vivar |
| Learning |
| Concept Learning from (Very) Ambiguous Examples / Dominique Bouthinon ; Henry Soldano ; Véronique Ventos |
| Finding Top-TV Pseudo Formal Concepts with Core Intents / Yoshiaki Okubo ; Makoto Haraguchi |
| On Fixed Convex Combinations of No-Regret Learners / Jan-P. Calliess |
| An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums / Kemal Yüksek ; Szrhat Cakaloglu |
| The Needles-in-Haystack Problem / Katherine Moreland |
| Data Mining on Multimedia Data |
| An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding / Spiros Nikolopoulos ; Georgios Th. Papadopoulos ; Ioannis Kompatsiaris ; Ioannis Patras |
| Detection of Masses in Mammographic Images Using SimpsonÆs Diversity Index in Circular Regions and SVM / André Pereira Nunes ; Aristófanes Correa Silva ; Anselmo Cardoso de Paiva |
| Mining Lung Shape from X-Ray Images / Vassili Kovalev ; Altaksandr Prus ; Pavel Vankevich |
| A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data / Pan Xiong ; Yaxin Bi ; Xuhui Shen |
| Spectrum Steganalysis of WAV Audio Streams / Qingzhong Liu ; Andrew H. Sung ; Mengyu Qiao |
| Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach / E. Fersim ; E. Messina ; G. Arosio ; P. Archetti |
| Learning with a Quadruped Chopstick Robot / Wei-Chung Lee ; Jong-Chen Chen ; Shou-zhe Wu ; Kuo-Ming Lin |
| Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes / Kaspar Riesen ; Horst Bunke |
| Text Mining |
| Using Graph-Kernels to Represent Semantic Information in Text Classification / Teresa Gonçalves ; Paulo Quaresma |
| A General Framework of Feature Selection for Text Categorization / Hongfang Jing ; Bin Wang ; Yahui Yang ; Yan Xu |
| New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps / Walaa K. Gad ; Mohamed S. Kamel |
| Aspects of Data Mining |
| Learning Betting Tips from UsersÆ Bet Selections / Erik Štrumbelj ; Marko Robnik Šikonja ; Igor Kononenko |
| An Approach to Web-Scale Named-Entity Disambiguation / LuÃs Sarmento ; Eugenio Oliveira |
| A General Learning Method for Automatic Title Extraction from HTML Pages / Sahar Changuel ; Nicolas Labroche ; Bernadette Bouchon-Meunier |
| Regional Pattern Discovery in Geo-referenced Datasets Using PCA / Oner Ulvi Celepcikay ; Christoph F. Eick ; Carlos Ordonez |
| Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series / Daniel Nikovski ; Ganesan Ramachandran |
| A Neural Approach for SMEÆs Credit Risk Analysis in Turkey / Gülnur Derelioglu ; Fikret Gürgen ; Nesrin Okay |
| Assisting Data Mining through Automated Planning / Fernando Fernández ; Daniel Borrajo ; Susana Fernández ; David Manzano |
| Predictions with Confidence in Applications / Mikhail Dashevskiy ; Zhiyuan Luo |
| Data Mining in Medicine |
| Aligning Bayesian Network Classifiers with Medical Contexts / Linda C. van der Gaag ; Silja Renooij ; Ad Feelders ; Arend de Groote ; Marinus J.C. Eijkemans ; Frank J. Broekmans ; Bart C.J.M. Fauser |
| Assessing the Eligibility of Kidney Transplant Donors / Francisco Reinaldo ; Carlos Femandes ; Md. Anishur Rahman ; Andreia Malucelli ; Rui Camacho |
| Lung Nodules Classification in CT Images Using SimpsonÆs Index, Geometrical Measures and One-Class SVM / Cleriston Araujo da Silva ; Aristófanes Corrêa Silva ; Stelmo Magalhães Barros Netto ; Anselmo Cardoso de Faioa ; Geraldo Braz Junior ; Rodolfo Acatauassú Nunes |
| Author Index |
| Attribute Discretization and Data Preparation |
| Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization / Klaus Truemper |
| Selection of Subsets of Ordered Features in Machine Learning / O. Seredin ; A. Kopylov ; V. Mottl |
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