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Author : Dawn E. Holmes
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Kind : eBook
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Book Synopsis Data mining: foundations and intelligent paradigms by : Dawn E. Holmes
Download or read book Data mining: foundations and intelligent paradigms written by Dawn E. Holmes. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dawn E. Holmes
Release : 2011-11-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 418/5 ( reviews)
Book Synopsis Data Mining: Foundations and Intelligent Paradigms by : Dawn E. Holmes
Download or read book Data Mining: Foundations and Intelligent Paradigms written by Dawn E. Holmes. This book was released on 2011-11-09. Available in PDF, EPUB and Kindle. Book excerpt: There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Author : Dawn E. Holmes
Release : 2011-11-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 667/5 ( reviews)
Book Synopsis Data Mining: Foundations and Intelligent Paradigms by : Dawn E. Holmes
Download or read book Data Mining: Foundations and Intelligent Paradigms written by Dawn E. Holmes. This book was released on 2011-11-09. Available in PDF, EPUB and Kindle. Book excerpt: There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Author : Dawn E. Holmes
Release : 2012-01-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 519/5 ( reviews)
Book Synopsis Data Mining: Foundations and Intelligent Paradigms by : Dawn E. Holmes
Download or read book Data Mining: Foundations and Intelligent Paradigms written by Dawn E. Holmes. This book was released on 2012-01-12. Available in PDF, EPUB and Kindle. Book excerpt: There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Author : Ajith Abraham
Release : 2009-05-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 911/5 ( reviews)
Book Synopsis Foundations of Computational Intelligence by : Ajith Abraham
Download or read book Foundations of Computational Intelligence written by Ajith Abraham. This book was released on 2009-05-01. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.
