Swarm Intelligence in Data Mining / Edition 1
by Ajith Abraham
This volume examines the application of swarm intelligence in data mining, addressing the issues of swarm intelligence and data mining using novel intelligent approaches. The book comprises 11 chapters including an introduction reviewing fundamental definitions and important research challenges. Important features include a detailed overview of swarm intelligence
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This volume examines the application of swarm intelligence in data mining, addressing the issues of swarm intelligence and data mining using novel intelligent approaches. The book comprises 11 chapters including an introduction reviewing fundamental definitions and important research challenges. Important features include a detailed overview of swarm intelligence and data mining paradigms, focused coverage of timely, advanced data mining topics, state-of-the-art theoretical research and application developments and contributions by pioneers in the field.
Product Details
- ISBN-13:
- 9783540349556
- Publisher:
- Springer Berlin Heidelberg
- Publication date:
- 10/05/2006
- Series:
- Studies in Computational Intelligence Series, #34
- Edition description:
- 2006
- Pages:
- 268
- Product dimensions:
- 6.10(w) x 9.25(h) x (d)
Table of Contents
Swarm Intelligence in Data Mining.- Ants Constructing Rule-Based Classifiers.- Performing Feature Selection with ACO.- Simultaneous Ant Colony Optimization Algorithms for Learning Linguistic Fuzzy Rules.- Ant Colony Clustering and Feature Extraction for Anomaly Intrusion Detection.- Particle Swarm Optimization for Pattern Recognition and Image Processing.- Data and Text Mining with Hierarchical Clustering Ants.- Swarm Clustering Based on Flowers Pollination by Artificial Bees.- Computer study of the evolution of ‘news foragers' on the Internet.- Data Swarm Clustering.- Clustering Ensemble Using ANT and ART.Customer Reviews
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