Advances in Data Mining Knowledge Discovery and Applications

Adem Karahoca

ISBN 10: 9535107488 / ISBN 13: 9789535107484

Published by Intechopen, 2012

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications.

Seller Inventory # 9789535107484

Bibliographic Details

• Title: Advances in Data Mining Knowledge Discovery and Applications
• Publisher: Intechopen
• Publication Date: 2012
• Language: English
• ISBN 10: 9535107488
• ISBN 13: 9789535107484
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 32D millimeters 266 millimeters width by 185 millimeters height by 32 millimeters depth
• Weight: 1078 grams

About this title

Synopsis

Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications.