Foundations of Computational Intelligence : Volume 6: Data Mining /
| Corporate Author: | |
|---|---|
| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
206 |
| Subjects: |
Table of Contents:
- 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
- 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
- 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.