Advances in Web Intelligence and Data Mining
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This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students can expect to find many inspiring ideas in this volume. …mehr

Produktbeschreibung
This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students can expect to find many inspiring ideas in this volume.
  • Produktdetails
  • Studies in Computational Intelligence 23
  • Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
  • Softcover reprint of hardcover 1st ed. 2006
  • Seitenzahl: 356
  • Erscheinungstermin: 17. November 2010
  • Englisch
  • Abmessung: 235mm x 155mm x 19mm
  • Gewicht: 540g
  • ISBN-13: 9783642070457
  • ISBN-10: 3642070450
  • Artikelnr.: 32017893
Inhaltsangabe
Study.- A Decision-Tree Framework for Instance-space Decomposition.- On prokaryotes' clustering based on curvature distribution.- Look-Ahead Mechanism Integration in Decision Tree Induction Models.- Feature Selection by Combining Multiple Methods.- Clustering and Classification of Textual Documents Based on Fuzzy Quantitative Similarity Measure - a Practical Evaluation.- Oriented k-windows: A PCA driven clustering method.- A cluster stability criteria based on the two-sample test concept.