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Can I read Studies in Computational Intelligence, Volume 34: Swarm Intelligence in Data Mining on EtoBox?

Studies in Computational Intelligence, Volume 34: Swarm Intelligence in Data Mining by Dr. Crina Grosan, Ajith Abraham, Monica Chis (auth.), Ajith Abraham, Dr. Crina Grosan, Dr. Vitorino Ramos (eds.) is a nonfiction available to read on EtoBox.

What is Studies in Computational Intelligence, Volume 34: Swarm Intelligence in Data Mining about?

Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amounts of data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. This book deals with the application of swarm intelligence in data mining. Addressing the various issues of swarm intelligence and data mining using different intelligent approaches is the novelty of this edited volume. This volume comprises of 11 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Important features include the detailed overview of the various swarm intelligence and data mining paradigms, excellent coverage of timely, advanced data mining topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, deve

Who reads Studies in Computational Intelligence, Volume 34: Swarm Intelligence in Data Mining?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Dr. Crina Grosan, Ajith Abraham, Monica Chis (auth.), Ajith Abraham, Dr. Crina Grosan, Dr. Vitorino Ramos (eds.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2006
Language
EN
ISBN
9783540349556
Category
nonfiction
Subjects
Science, Mathematics, Engineering

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