Introduction to Data Mining and Its Applications

Introduction to Data Mining and Its Applications

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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.For example, an inductive learner may be used to create a classifier out of previous credit card applications. ... However, it may be easy to claim that the pattern was derived by a sophisticated computer program, and thus, accepted as truthanbsp;...

Title:Introduction to Data Mining and Its Applications
Author:S. Sumathi, S.N. Sivanandam
Publisher:Springer Science & Business Media - 2006-09-26


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