Foundations of Computational Intelligence: Volume 6: Data Mining / Edition 1by Ajith Abraham, Aboul-Ella Hassanien, Andr? Ponce de Leon F. de Carvalho, Vaclav Sn??el
Computational tools or solutions based on intelligent systems are being used effectively in data mining applications. This book, one of a series on the foundations of Computational Intelligence, is focused on applications of techniques for data mining.See more details below
Computational tools or solutions based on intelligent systems are being used effectively in data mining applications. This book, one of a series on the foundations of Computational Intelligence, is focused on applications of techniques for data mining.
Table of 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.- A Framework for Composing Knowledge Discovery Workflows in Grids.- Distributed Data Clustering: A Comparative Analysis.
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