9. PKDD 2005: Porto, Portugal

Invited Talks

• Michael R. Berthold:
  Data Analysis in the Life Sciences - Sparking Ideas -. 1
  
• Claire Cardie:
  Machine Learning for Natural Language Processing (and Vice Versa?). 2
  
• Luc De Raedt:
  Statistical Relational Learning: An Inductive Logic Programming Perspective. 3-5
  
• Eamonn J. Keogh:
  Recent Advances in Mining Time Series Data. 6
  
• Ron Kohavi:
  Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce. 7
  
• Yossi Matias:
  Data Streams and Data Synopses for Massive Data Sets. 8-9
  

Long Papers

• Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
  k-Anonymous Patterns. 10-21
  
• Stefano Bistarelli, Francesco Bonchi:
  Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining. 22-33
  
• José Borges, Mark Levene:
  Generating Dynamic Higher-Order Markov Models in Web Usage Mining. 34-45
  
• Björn Bringmann, Albrecht Zimmermann:
  Tree² - Decision Trees for Tree Structured Data. 46-58
  
• Ian Davidson, S. S. Ravi:
  Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results. 59-70
  
• Chris H. Q. Ding, Xiaofeng He:
  Cluster Aggregate Inequality and Multi-level Hierarchical Clustering. 71-83
  
• Lin Dong, Eibe Frank, Stefan Kramer:
  Ensembles of Balanced Nested Dichotomies for Multi-class Problems. 84-95
  
• Pedro Gabriel Ferreira, Paulo J. Azevedo:
  Protein Sequence Pattern Mining with Constraints. 96-107
  
• Yan-Nei Law, Carlo Zaniolo:
  An Adaptive Nearest Neighbor Classification Algorithm for Data Streams. 108-120
  
• Chi-Hoon Lee, Russell Greiner, Mark W. Schmidt:
  Support Vector Random Fields for Spatial Classification. 121-132
  
• Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos:
  Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. 133-145
  
• Jinyan Li, Haiquan Li, Donny Soh, Limsoon Wong:
  A Correspondence Between Maximal Complete Bipartite Subgraphs and Closed Patterns. 146-156
  
• Ling Li, Amrit Pratap, Hsuan-Tien Lin, Yaser S. Abu-Mostafa:
  Improving Generalization by Data Categorization. 157-168
  
• Donato Malerba, Michelangelo Ceci, Annalisa Appice:
  Mining Model Trees from Spatial Data. 169-180
  
• Dimitrios Mavroeidis, George Tsatsaronis, Michalis Vazirgiannis, Martin Theobald, Gerhard Weikum:
  Word Sense Disambiguation for Exploiting Hierarchical Thesauri in Text Classification. 181-192
  
• Marius Pasca:
  Mining Paraphrases from Self-anchored Web Sentence Fragments. 193-204
  
• Marc Plantevit, Yeow Wei Choong, Anne Laurent, Dominique Laurent, Maguelonne Teisseire:
  M²SP: Mining Sequential Patterns Among Several Dimensions. 205-216
  
• Binyamin Rosenfeld, Moshe Fresko, Ronen Feldman:
  A Systematic Comparison of Feature-Rich Probabilistic Classifiers for NER Tasks. 217-227
  
• Maria Salamó, James Reilly, Lorraine McGinty, Barry Smyth:
  Knowledge Discovery from User Preferences in Conversational Recommendation. 228-239
  
• Gabi Schmidberger, Eibe Frank:
  Unsupervised Discretization Using Tree-Based Density Estimation. 240-251
  
• Karl-Michael Schneider:
  Weighted Average Pointwise Mutual Information for Feature Selection in Text Categorization. 252-263
  
• Haifeng Shen, Jun Guo, Gang Liu, Qunxia Li:
  Non-stationary Environment Compensation Using Sequential EM Algorithm for Robust Speech Recognition. 264-273
  
• Shengli Sheng, Charles X. Ling:
  Hybrid Cost-Sensitive Decision Tree. 274-284
  
• Tobias Sing, Valentina Svicher, Niko Beerenwinkel, Francesca Ceccherini-Silberstein, Martin Däumer, Rolf Kaiser, Hauke Walter, Klaus Korn, Daniel Hoffmann, Mark Oette, Jürgen K. Rockstroh, Gerd Fätkenheuer, Carlo-Federico Perno, Thomas Lengauer:
  Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking. 285-296
  
• Parag Singla, Pedro Domingos:
  Object Identification with Attribute-Mediated Dependences. 297-308
  
• Domenico Talia, Paolo Trunfio, Oreste Verta:
  Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids. 309-320
  
• Tuan Nam Tran, Kenji Satou, Tu Bao Ho:
  Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data. 321-330
  
• Claudio Varini, Andreas Degenhard, Tim W. Nattkemper:
  ISOLLE: Locally Linear Embedding with Geodesic Distance. 331-342
  
• Sriharsha Veeramachaneni, Francesca Demichelis, Emanuele Olivetti, Paolo Avesani:
  Active Sampling for Knowledge Discovery from Biomedical Data. 343-354
  
• Michail Vlachos, Zografoula Vagena, Vittorio Castelli, Philip S. Yu:
  A Multi-metric Index for Euclidean and Periodic Matching. 355-367
  
• Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu:
  Fast Burst Correlation of Financial Data. 368-379
  
• Nirmalie Wiratunga, Robert Lothian, Sutanu Chakraborti, Ivan Koychev:
  A Propositional Approach to Textual Case Indexing. 380-391
  
• Marc Wörlein, Thorsten Meinl, Ingrid Fischer, Michael Philippsen:
  A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston. 392-403
  
• Xiaoxin Yin, Jiawei Han:
  Efficient Classification from Multiple Heterogeneous Databases. 404-416
  
• Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
  A Probabilistic Clustering-Projection Model for Discrete Data. 417-428
  

Short Papers

• Jorge M. Barajas, Xue Li:
  Collaborative Filtering on Data Streams. 429-436
  
• Ferenc Bodon, Lars Schmidt-Thieme:
  The Relation of Closed Itemset Mining, Complete Pruning Strategies and Item Ordering in Apriori-Based FIM Algorithms. 437-444
  
• Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
  Community Mining from Multi-relational Networks. 445-452
  
• Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken:
  Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. 453-461
  
• Jorge Díez, Juan José del Coz, Carlos Sañudo, Pere Albertí, Antonio Bahamonde:
  A Kernel Based Method for Discovering Market Segments in Beef Meat. 462-469
  
• Bálint Gábor, Viktor Gyenes, András Lörincz:
  Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses. 470-477
  
• Pierre Geurts, Louis Wehenkel:
  Segment and Combine Approach for Non-parametric Time-Series Classification. 478-485
  
• Derek Greene, Padraig Cunningham:
  Producing Accurate Interpretable Clusters from High-Dimensional Data. 486-494
  
• Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer:
  Stress-Testing Hoeffding Trees. 495-502
  
• Jin Huang, Charles X. Ling:
  Rank Measures for Ordering. 503-510
  
• Jin Huang, Charles X. Ling:
  Dynamic Ensemble Re-Construction for Better Ranking. 511-518
  
• Alexander Ilin, Harri Valpola:
  Frequency-Based Separation of Climate Signals. 519-526
  
• Wen Jin, Martin Ester, Jiawei Han:
  Efficient Processing of Ranked Queries with Sweeping Selection. 527-535
  
• Alexandros Kalousis, Julien Prados, Elton Rexhepaj, Melanie Hilario:
  Feature Extraction from Mass Spectra for Classification of Pathological States. 536-543
  
• Arno J. Knobbe, Eric K. Y. Ho:
  Numbers in Multi-relational Data Mining. 544-551
  
• Bruce Knuteson, Ricardo Vilalta:
  Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation. 552-560
  
• Aleksander Kolcz, Abdur Chowdhury:
  Improved Naive Bayes for Extremely Skewed Misclassification Costs. 561-568
  
• Kari Laasonen:
  Clustering and Prediction of Mobile User Routes from Cellular Data. 569-576
  
• Longin Jan Latecki, Vasilis Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh:
  Elastic Partial Matching of Time Series. 577-584
  
• Chang-Hwan Lee:
  An Entropy-Based Approach for Generating Multi-dimensional Sequential Patterns. 585-592
  
• Wenyuan Li, Kok-Leong Ong, Wee Keong Ng:
  Visual Terrain Analysis of High-Dimensional Datasets. 593-600
  
• Tian-yang Lv, Yu-hui Xing, Shaobin Huang, Zhengxuan Wang, Wanli Zuo:
  An Auto-stopped Hierarchical Clustering Algorithm for Analyzing 3D Model Database. 601-608
  
• Mohamed Nadif, Gérard Govaert:
  A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table. 609-616
  
• Canh Hao Nguyen, Tu Bao Ho:
  An Imbalanced Data Rule Learner. 617-624
  
• Son N. Nguyen, Maria E. Orlowska:
  Improvements in the Data Partitioning Approach for Frequent Itemsets Mining. 625-633
  
• Richard Nock, Babak Esfandiari:
  On-Line Adaptive Filtering of Web Pages. 634-642
  
• Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
  A Bi-clustering Framework for Categorical Data. 643-650
  
• Huseyin Polat, Wenliang Du:
  Privacy-Preserving Collaborative Filtering on Vertically Partitioned Data. 651-658
  
• Lionel Savary, Karine Zeitouni:
  Indexed Bit Map (IBM) for Mining Frequent Sequences. 659-666
  
• Jerffeson Teixeira de Souza, Nathalie Japkowicz, Stan Matwin:
  STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. 667-674
  
• Marc Sumner, Eibe Frank, Mark A. Hall:
  Speeding Up Logistic Model Tree Induction. 675-683
  
• Haixun Wang, Jian Pei:
  A Random Method for Quantifying Changing Distributions in Data Streams. 684-691
  
• Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda:
  Deriving Class Association Rules Based on Levelwise Subspace Clustering. 692-700
  
• Lijun Xu, Kanglin Xie:
  An Incremental Algorithm for Mining Generators Representation. 701-708
  
• Cleber Zanchettin, Teresa Bernarda Ludermir:
  Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. 709-716
  

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