Foundations of Computational Intelligence, Volume 6, 2009

Data Click Streams and Temporal Data Mining

• H. Hannah Inbarani, K. Thangavel:
  Mining and Analysis of Clickstream Patterns. 3-27
  
• João Gama, Pedro Pereira Rodrigues:
  An Overview on Mining Data Streams. 29-45
  
• Mohamed Medhat Gaber:
  Data Stream Mining Using Granularity-Based Approach. 47-66
  
• Paul Cotofrei, Kilian Stoffel:
  Time Granularity in Temporal Data Mining. 67-96
  
• Yasufumi Takama, Yuki Muto:
  Mining User Preference Model from Utterances. 97-123
  

Text and Rule Mining

• Josef Steinberger, Karel Jezek:
  Text Summarization: An Old Challenge and New Approaches. 127-149
  
• Yee Mey Goh, Matt Giess, Chris A. McMahon, Ying Liu:
  From Faceted Classification to Knowledge Discovery of Semi-structured Text Records. 151-169
  
• Thomas W. H. Lui, David K. Y. Chiu:
  Multi-value Association Patterns and Data Mining. 171-191
  
• Monica Chis, Soumya Banerjee, Aboul Ella Hassanien:
  Clustering Time Series Data: An Evolutionary Approach. 193-207
  
• Bahman Yari Saeed Khanloo, Daryanaz Dargahi, Nima Aghaeepour, Ali Masoudi-Nejad:
  Support Vector Clustering: From Local Constraint to Global Stability. 209-227
  
• Urszula Boryczka, Jan Kozak:
  New Algorithms for Generation Decision Trees-Ant-Miner and Its Modifications. 229-262
  

Data Mining Applications

• Martin Rimnac, Roman Spanek:
  Automated Incremental Building of Weighted Semantic Web Repository. 265-296
  
• A. Awasthi, Satyaveer Singh Chauhan, Michel Parent, Y. Lechevallier, Jean-Marie Proth:
  A Data Mining Approach for Adaptive Path Planning on Large Road Networks. 297-320
  
• Alexei Manso Corrêa Machado:
  Linear Models for Visual Data Mining in Medical Images. 321-344
  
• Marco Lackovic, Domenico Talia, Paolo Trunfio:
  A Framework for Composing Knowledge Discovery Workflows in Grids. 345-369
  
• N. Karthikeyani Visalakshi, K. Thangavel:
  Distributed Data Clustering: A Comparative Analysis. 371-397