8. PKDD 2004: Pisa, Italy

Invited Papers

• Dimitris Achlioptas:
  Random Matrices in Data Analysis. 1-7
  
• Rakesh Agrawal:
  Data Privacy. 8
  
• Soumen Chakrabarti:
  Breaking Through the Syntax Barrier: Searching with Entities and Relations. 9-16
  
• Pedro Domingos:
  Real-World Learning with Markov Logic Networks. 17
  
• David J. Hand:
  Strength in Diversity: The Advance of Data Analysis. 18-26
  

Contributed Papers

• Maria-Luiza Antonie, Osmar R. Zaïane:
  Mining Positive and Negative Association Rules: An Approach for Confined Rules. 27-38
  
• Sandra Berasaluce, Claude Laurenço, Amedeo Napoli, Gilles Niel:
  An Experiment on Knowledge Discovery in Chemical Databases. 39-51
  
• Christian Borgelt, Rudolf Kruse:
  Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering. 52-62
  
• Constantinos Boulis, Mari Ostendorf:
  Combining Multiple Clustering Systems. 63-74
  
• Francesco Buccafurri, Gianluca Lax:
  Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms. 75-86
  
• Barbara Catania, Anna Maddalena, Maurizio Mazza, Elisa Bertino, Stefano Rizzi:
  A Framework for Data Mining Pattern Management. 87-98
  
• Michelangelo Ceci, Annalisa Appice, Donato Malerba:
  Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. 99-111
  
• Deepayan Chakrabarti:
  AutoPart: Parameter-Free Graph Partitioning and Outlier Detection. 112-124
  
• Ira Cohen, Moisés Goldszmidt:
  Properties and Benefits of Calibrated Classifiers. 125-136
  
• Gianni Costa, Giuseppe Manco, Riccardo Ortale, Andrea Tagarelli:
  A Tree-Based Approach to Clustering XML Documents by Structure. 137-148
  
• Michael Egmont-Petersen, Wim de Jonge, Arno Siebes:
  Discovery of Regulatory Connections in Microarray Data. 149-160
  
• George Forman, Ira Cohen:
  Learning from Little: Comparison of Classifiers Given Little Training. 161-172
  
• Aristides Gionis, Heikki Mannila, Jouni K. Seppänen:
  Geometric and Combinatorial Tiles in 0-1 Data. 173-184
  
• Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti:
  Document Classification Through Interactive Supervision of Document and Term Labels. 185-196
  
• Melanie Hilario, Alex Mitchell, Jee-Hyub Kim, Paul Bradley, Terri K. Attwood:
  Classifying Protein Fingerprints. 197-208
  
• Shoji Hirano, Shusaku Tsumoto:
  Finding Interesting Pass Patterns from Soccer Game Records. 209-218
  
• François Jacquenet, Christine Largeron:
  Discovering Unexpected Information for Technology Watch. 219-230
  
• Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle:
  Scalable Density-Based Distributed Clustering. 231-244
  
• Adam Jatowt, Mitsuru Ishizuka:
  Summarization of Dynamic Content in Web Collections. 245-254
  
• Wen Jin, Jiawei Han, Martin Ester:
  Mining Thick Skylines over Large Databases. 255-266
  
• Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag:
  Ensemble Feature Ranking. 267-278
  
• Murat Kantarcioglu, Chris Clifton:
  Privately Computing a Distributed k-nn Classifier. 279-290
  
• Byung-Joo Kim, Il Kon Kim:
  Incremental Nonlinear PCA for Classification. 291-300
  
• Wenyuan Li, Wee Keong Ng, Kok-Leong Ong, Ee-Peng Lim:
  A Spectroscopy of Texts for Effective Clustering. 301-312
  
• Nicolas Méger, Christophe Rigotti:
  Constraint-Based Mining of Episode Rules and Optimal Window Sizes. 313-324
  
• Katharina Morik, Hanna Köpcke:
  Analysing Customer Churn in Insurance Data - A Case Study. 325-336
  
• Martin Mozina, Janez Demsar, Michael W. Kattan, Blaz Zupan:
  Nomograms for Visualization of Naive Bayesian Classifier. 337-348
  
• Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hiroshi Motoda:
  Using a Hash-Based Method for Apriori-Based Graph Mining. 349-361
  
• Miho Ohsaki, Shinya Kitaguchi, Kazuya Okamoto, Hideto Yokoi, Takahira Yamaguchi:
  Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis. 362-373
  
• Salvatore Rinzivillo, Franco Turini:
  Classification in Geographical Information Systems. 374-385
  
• Yvan Saeys, Sven Degroeve, Yves Van de Peer:
  Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach. 386-397
  
• Jun Sese, Shinichi Morishita:
  Itemset Classified Clustering. 398-409
  
• Christian Siefkes, Fidelis Assis, Shalendra Chhabra, William S. Yerazunis:
  Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering. 410-421
  
• Adriano Veloso, Wagner Meira Jr., Renato Ferreira, Dorgival Olavo Guedes Neto, Srinivasan Parthasarathy:
  Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining. 422-433
  
• Ricardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari, Francisco Ocegueda-Hernandez:
  A Quantification of Cluster Novelty with an Application to Martian Topography. 434-445
  
• Xin Wang, Camilo Rostoker, Howard J. Hamilton:
  Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators. 446-458
  
• Zhaohui Wu, Xuezhong Zhou, Baoyan Liu, Junli Chen:
  Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge. 459-470
  
• Ying Yang, Xindong Wu, Xingquan Zhu:
  Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. 471-483
  
• Nan Zhang, Shengquan Wang, Wei Zhao:
  A New Scheme on Privacy Preserving Association Rule Mining. 484-495
  

Posters

• Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Marco Patella, Yannis Theodoridis:
  A Unified and Flexible Framework for Comparing Simple and Complex Patterns. 496-499
  
• Ronnie Bathoorn, Arno Siebes:
  Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. 500-502
  
• Élisa Fromont, Marie-Odile Cordier, Rene Quiniou:
  Learning from Multi-source Data. 503-505
  
• Paolo Ferragina, Antonio Gulli:
  The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets. 506-508
  
• Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin:
  COCOA: Compressed Continuity Analysis for Temporal Databases. 509-511
  
• Fabian Mörchen, Alfred Ultsch, Olaf Hoos:
  Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method. 512-514
  
• Chi Lang Ngo, Hung Son Nguyen:
  A Tolerance Rough Set Approach to Clustering Web Search Results. 515-517
  
• Aloísio Carlos de Pina, Gerson Zaverucha:
  Improving the Performance of the RISE Algorithm. 518-520
  
• Qiankun Zhao, Sourav S. Bhowmick:
  Mining History of Changes to Web Access Patterns. 521-523
  

Demonstration Papers

• Gennady L. Andrienko, Natalia V. Andrienko, Peter Gatalsky:
  Visual Mining of Spatial Time Series Data. 524-527
  
• Bruno Apolloni, Andrea Brega, Dario Malchiodi, Cristian Mesiano:
  Detecting Driving Awareness. 528-530
  
• Ranieri Baraglia, Francesco Merlo, Fabrizio Silvestri:
  An Effective Recommender System for Highly Dynamic and Large Web Sites. 531-533
  
• Christian Biemann, Karsten Böhm, Gerhard Heyer, Ronny Melz:
  SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections. 534-536
  
• Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk:
  Orange: From Experimental Machine Learning to Interactive Data Mining. 537-539
  
• Yuval Elovici, Abraham Kandel, Mark Last, Bracha Shapira, Omer Zaafrany, Moti Schneider, Menahem Friedman:
  Terrorist Detection System. 540-542
  
• Paolo Ferragina, Antonio Gulli:
  Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets. 543-545
  
• Shantanu Godbole, Abhay Harpale, Sunita Sarawagi, Soumen Chakrabarti:
  HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels. 546-548
  
• Kristian Kersting, Uwe Dick:
  Balios - The Engine for Bayesian Logic Programs. 549-551
  
• Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis:
  SEWeP: A Web Mining System Supporting Semantic Personalization. 552-554
  
• Alexandr A. Savinov:
  SPIN! Data Mining System Based on Component Architecture. 555-558
  

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