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Introduction to Data Mining and its Applications

  • S. Sumathi
  • S. N. Sivanandam

Part of the Studies in Computational Intelligence book series (SCI, volume 29)

About this book

Introduction

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.

Keywords

Analysis algorithm algorithms artificial intelligence communication computer-aided design (CAD) data mining data warehouse knowledge base knowledge discovery learning machine learning statistics visualization web mining

Authors and affiliations

  • S. Sumathi
    • 1
  • S. N. Sivanandam
    • 2
  1. 1.Department of Electrical and Electronics EngineeringPSG College of TechnologyCoimbatoreIndia
  2. 2.Department of Computer Science and EngineeringPSG College of TechnologyPeelamedu, CoimbatoreIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-34351-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-34350-9
  • Online ISBN 978-3-540-34351-6
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site