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Swarm Intelligence in Data Mining Ajith Abraham

Swarm Intelligence in Data Mining By Ajith Abraham

Swarm Intelligence in Data Mining by Ajith Abraham


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Summary

This volume examines the application of swarm intelligence in data mining, addressing the issues of swarm intelligence and data mining using novel intelligent approaches.

Swarm Intelligence in Data Mining Summary

Swarm Intelligence in Data Mining 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 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.

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.

Additional information

NLS9783642071171
9783642071171
3642071171
Swarm Intelligence in Data Mining by Ajith Abraham
New
Paperback
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
2010-11-30
268
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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