Foundations of computational intelligence v. 6 Data mining

Sixth volume of a Reference work on the foundations of Computational Intelligence Devoted to Data Mining INDICE: From the contents Part I Data Click Streams and Temporal Data Mining.- Mining and Analysis of Clickstream Patterns- An Overview on Mining Data Streams.- Data Stream Mining Using Granularity-based Approach.- Time Granularity in Temporal Data Mining.- Mining User Preference Model from Utterances.- Part II Text and Rule Mining.- Text Summarization: An Old Challenge and New Approaches.- From Faceted Classification to Knowledge Discovery of Semi-Structured Text Records.- Multi-Value Association Patterns and Data Mining.- Clustering Time Series Data: An Evolutionary Approach.- Support Vector Clustering: From Local Constraint to Global Stability.- New algorithms for generation decision trees - Ant-Miner and its modifications.- Part III Data Mining Applications.- Automated Incremental Building of Weighted Semantic Web Repository.- A data mining approach for adaptive path planning on large road networks.- Linear models for visual data mining in medical images.

• ISBN: 978-3-642-01090-3
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 300
• Fecha Publicación: 01/05/2009
• Nº Volúmenes: 1
• Idioma: Inglés