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Knowledge Discovery in Databases: PKDD 2004

8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004. Proceedings

  • Jean-François Boulicaut
  • Floriana Esposito
  • Fosca Giannotti
  • Dino Pedreschi
Conference proceedings PKDD 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3202)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3202)

Table of contents

  1. Front Matter
    PDF

  2. Invited Papers

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

  3. Contributed Papers

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

  4. Posters

    1. A Unified and Flexible Framework for Comparing Simple and Complex Patterns
      Ilaria Bartolini, Paolo Ciaccia, Irene Ntoutsi, Marco Patella, Yannis Theodoridis
      Pages 496-499
      PDF
    2. Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data
      Ronnie Bathoorn, Arno Siebes
      Pages 500-502
      PDF
    3. Learning from Multi-source Data
      Élisa Fromont, Marie-Odile Cordier, René Quiniou
      Pages 503-505
      PDF
    4. The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets
      Paolo Ferragina, Antonio Gullì
      Pages 506-508
      PDF
    5. COCOA: Compressed Continuity Analysis for Temporal Databases
      Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
      Pages 509-511
      PDF

Other volumes

  1. Machine Learning: ECML 2004
    15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004. Proceedings
  2. Knowledge Discovery in Databases: PKDD 2004
    8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004. Proceedings

About these proceedings

Keywords

association rule mining bayesian learning clustering data analysis data mining database inductive inference knowledge discovery learning classifier systems pattern mining relational data mining text mining time series analysis

Editors and affiliations

  • Jean-François Boulicaut
    • 1
  • Floriana Esposito
    • 2
  • Fosca Giannotti
    • 3
  • Dino Pedreschi
    • 4
  1. 1.INSA-Lyon, LIRIS CNRS UMR5205VilleurbanneFrance
  2. 2.Dipartimento di InformaticaUniversità degli Studi di Bari 
  3. 3.Pisa KDD Laboratory, ISTI - CNR, Area della Ricerca di PisaPisaItaly
  4. 4.Dipartimento di InformaticaPisaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/b100704
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-23108-0
  • Online ISBN 978-3-540-30116-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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