NEW BOOK: Swarm Intelligence in Data Mining

[Vitorino RAMOS]

Abraham, Ajith; Grosan, Crina; Ramos, Vitorino (Eds.), Swarm
Intelligence in Data Mining, Series: Studies in Computational
Intelligence, Vol. 34, Springer-Verlag, ISBN: 3-540-34955-3, Approx.
270 p., Hardcover, September 2006.

PREFACE PDF file:
http://alfa.ist.utl.pt/~cvrm/staff/vramos/sidm-book-preface.pdf
TABLE OF CONTENTS (full PDF file):
http://alfa.ist.utl.pt/~cvrm/staff/vramos/sidm-book-toc.pdf
FOREWORD by Dr. James Kennedy:
http://www.softcomputing.net/sidm_foreword.pdf

1) Introduction to Swarm Intelligence and Data Mining
2) AntMiner+: A max-min ant system building rule-based classifier
3) Performing feature selection with ACO
4) Simultaneous ant colony optimization algorithms for learning
linguistic fuzzy rules
5) Ant colony clustering and feature extraction for anomaly intrusion
detection
6) Data and text mining with hierarchical clustering ants
7) Clustering ensemble using ANT and ART
8) Swarm clustering based on flowers pollination by artificial bees
9) Computer study of the evolution of 'news foragers' on the Internet
10) Data swarm clustering
11) Particle Swarm Optimization for Pattern Recognition and Image
Processing

Direct SPRINGER link:
http://www.springer.com/east/home/computer?SGWID=5-146-22-173662727-0