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  • Conference proceedings
  • © 2007

Knowledge Discovery in Databases: PKDD 2007

11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings

Editors:

  1. Joost N. Kok
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  2. Jacek Koronacki
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  3. Ramon Lopez de Mantaras
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  4. Stan Matwin
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  5. Dunja Mladenič
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  6. Andrzej Skowron
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4702)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): PKDD: European Conference on Principles of Data Mining and Knowledge Discovery

Conference proceedings info: PKDD 2007.

Sections

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Table of contents (67 papers)

  1. Front Matter

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  3. Long Papers

    3. A Graphical Model for Content Based Image Suggestion and Feature Selection

      • Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
      Pages 30-41

    4. Efficient AUC Optimization for Classification

      • Toon Calders, Szymon Jaroszewicz
      Pages 42-53

    5. Finding Transport Proteins in a General Protein Database

      • Sanmay Das, Milton H. Saier Jr., Charles Elkan
      Pages 54-66

    6. Classification of Web Documents Using a Graph-Based Model and Structural Patterns

      • Andrzej Dominik, Zbigniew Walczak, Jacek Wojciechowski
      Pages 67-78

    7. Context-Specific Independence Mixture Modelling for Protein Families

      • Benjamin Georgi, Jörg Schultz, Alexander Schliep
      Pages 79-90

    9. Privacy Preserving Market Basket Data Analysis

      • Ling Guo, Songtao Guo, Xintao Wu
      Pages 103-114

    11. Generating Social Network Features for Link-Based Classification

      • Jun Karamon, Yutaka Matsuo, Hikaru Yamamoto, Mitsuru Ishizuka
      Pages 127-139

    12. An Empirical Comparison of Exact Nearest Neighbour Algorithms

      • Ashraf M. Kibriya, Eibe Frank
      Pages 140-151

    13. Site-Independent Template-Block Detection

      • Aleksander Kołcz, Wen-tau Yih
      Pages 152-163

    14. Statistical Model for Rough Set Approach to Multicriteria Classification

      • Krzysztof Dembczyński, Salvatore Greco, Wojciech Kotłowski, Roman Słowiński
      Pages 164-175
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Other Volumes

  1. Machine Learning: ECML 2007

  2. Knowledge Discovery in Databases: PKDD 2007

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About this book

The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the ?rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was?rstheldin1997inTrondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining. In 2007, the seventh collocated ECML/PKDD took place during September 17–21 on the centralcampus of WarsawUniversityand in the nearby Staszic Palace of the Polish Academy of Sciences. The conference for the third time used a hierarchical reviewing process. We nominated 30 Area Chairs, each of them responsible for one sub-?eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year’s International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.AjointProgramCommittee(PC)wasnominatedforthe two conferences, consisting of some 300 renowned researchers, mostly proposed by the Area Chairs. This joint PC, the largest of the series to date, allowed us to exploit synergies and deal competently with topic overlaps between ECML and PKDD. ECML/PKDD 2007 received 592 abstract submissions. As in previous years, toassistthereviewersandtheAreaChairsintheir?nalrecommendationauthors had the opportunity to communicate their feedback after the reviewing phase.
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Keywords

  • algorithmic learning
  • association rule mining
  • bayesian learning
  • classification
  • clustering
  • data analysis
  • data mining
  • database
  • decision trees
  • information retrieval
  • kernel methods
  • knowledge discovery
  • learning
  • learning classifier systems
  • machine learning
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Bibliographic Information

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Access via your institution
eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-3-540-74976-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.00
Price excludes VAT (USA)
Learn about institutional subscriptions