Buch, Englisch, 268 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
Buch, Englisch, 268 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-07117-1
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
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.
