7. MLDM 2011: New York, NY, USA

Classification and Decision Theory

• Tatsuya Yokota, Yukihiko Yamashita:
  Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifier. 1-15
  
• Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic:
  Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification. 16-30
  
• Antonina Danylenko, Jonas Lundberg, Welf Löwe:
  Decisions: Algebra and Implementation. 31-45
  
• Alexander Liu, Cheryl E. Martin:
  Smoothing Multinomial Naïve Bayes in the Presence of Imbalance. 46-59
  
• Liyun Li, Umut Topkara, Nasir D. Memon:
  ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leaves. 60-74
  
• Dhafer Lahbib, Marc Boullé, Dominique Laurent:
  Informative Variables Selection for Multi-relational Supervised Learning. 75-87
  
• Krzysztof Grabczewski:
  Separability of Split Value Criterion with Weighted Separation Gains. 88-98
  
• Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
  Granular Instances Selection for Fuzzy Modeling. 99-111
  
• Shu Wu, Shengrui Wang:
  Parameter-Free Anomaly Detection for Categorical Data. 112-126
  
• Houda Benbrahim:
  Fuzzy Semi-supervised Support Vector Machines. 127-139
  
• Mondelle Simeon, Robert J. Hilderman:
  GENCCS: A Correlated Group Difference Approach to Contrast Set Mining. 140-154
  
• Zehra Cataltepe, Abdullah Sonmez, Kadriye Baglioglu, Ayse Erzan:
  Collective Classification Using Heterogeneous Classifiers. 155-169
  
• Dalton Lunga, Okan Ersoy:
  Spherical Nearest Neighbor Classification: Application to Hyperspectral Data. 170-184
  
• Tao Xu, Iker Gondra, David Chiu:
  Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning. 185-198
  
• Victor S. Sheng, Rahul Tada:
  Boosting Inspired Process for Improving AUC. 199-209
  

Theory of Learning

• Luiz Antonio Celiberto Jr., Jackson Paul Matsuura:
  Investigation in Transfer Learning: Better Way to Apply Transfer Learning between Agents. 210-223
  
• John Sullins:
  Exploration Strategies for Learned Probabilities in Smart Terrain. 224-238
  
• Jamshaid G. Mohebzada, Michael M. Richter, Günther Ruhe:
  Sensitivity Analysis for Weak Constraint Generation. 239-252
  
• Jin Xu, Hong Man:
  Dictionary Learning Based on Laplacian Score in Sparse Coding. 253-264
  

Clustering

• Mohamed Bouguessa:
  A Practical Approach for Clustering Transaction Data. 265-279
  
• Helena Aidos, Ana L. N. Fred:
  Hierarchical Clustering with High Order Dissimilarities. 280-293
  
• Amina Madani, Omar Boussaid, Djamel Eddine Zegour:
  Clust-XPaths: Clustering of XML Paths. 294-305
  
• Elio Lozano, Edgar Acuña:
  Comparing Clustering and Metaclustering Algorithms. 306-319
  

Applications in Medicine

• Dragana Veljkovic Perez, Kay A. Robbins:
  Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss. 320-334
  
• Bashar Awwad Shiekh Hasan:
  On the Temporal Behavior of EEG Recorded during Real Finger Movement. 335-347
  
• Douglas A. Talbert, Matt Honeycutt, Steve Talbert:
  A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage. 348-361
  
• Weronika Piatkowska, Jerzy Martyna, Leszek Nowak, Karol Przystalski:
  A Decision Support System Based on the Semantic Analysis of Melanoma Images Using Multi-elitist PSO and SVM. 362-374
  

WebMining/Information Mining

• Xiaoling Chen, Peng Hao, Rajarathnam Chandramouli, K. P. Subbalakshmi:
  Authorship Similarity Detection from Email Messages. 375-386
  
• Matias Garcia-Constantino, Frans Coenen, P.-J. Noble, Alan Radford, Christian Setzkorn, Aine Tierney:
  An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data. 387-398
  
• Henry Joutsijoki, Martti Juhola:
  Comparing the One-vs-One and One-vs-All Methods in Benthic Macroinvertebrate Image Classification. 399-413
  
• Ayesh Alshukri, Frans Coenen, Michele Zito:
  Incremental Web-Site Boundary Detection Using Random Walks. 414-427
  
• Minhua Huang, Robert M. Haralick:
  Discovering Text Patterns by a New Graphic Model. 428-442
  
• Yu Jiang, Weiyi Meng, Clement T. Yu:
  Topic Sentiment Change Analysis. 443-457
  
• Peng Hao, Xiaoling Chen, Na Cheng, Rajarathnam Chandramouli, K. P. Subbalakshmi:
  Adaptive Context Modeling for Deception Detection in Emails. 458-468
  
• Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo:
  Contrasting Correlations by an Efficient Double-Clique Condition. 469-483
  

Machine Learning and Image Mining

• Dingding Liu, Yingen Xiong, Kari Pulli, Linda G. Shapiro:
  Estimating Image Segmentation Difficulty. 484-495
  
• Chun-Sheng Chen, Christoph F. Eick, Nouhad J. Rizk:
  Mining Spatial Trajectories Using Non-parametric Density Functions. 496-510
  
• Javier Salvador Sánchez, Vicente García, Ramón Alberto Mollineda:
  Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. 511-523
  
• Anja Attig, Petra Perner:
  A Comparison between Haralick's Texture Descriptor and the Texture Descriptor Based on Random Sets for Biological Images. 524-538
  

Time Series and Frequent Item Set Mining

• Tom Armstrong, Eric Drewniak:
  Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases. 539-552
  
• Robert Kessl:
  Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling. 553-567
  
• Ismail Günes, Zehra Çataltepe, Sule Gündüz Ögüdücü:
  GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms. 568-583
  

Aspects of Machine Learning and Data Mining

• Tanwistha Saha, Carlotta Domeniconi, Huzefa Rangwala:
  Detection of Communities and Bridges in Weighted Networks. 584-598
  
• Robert Adolf, David Haglin, Mahantesh Halappanavar, Yousu Chen, Zhenyu Huang:
  Techniques for Improving Filters in Power Grid Contingency Analysis. 599-611
  

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