Posted February 2Feb 2 Introduction to Data Mining and Its Applications Introduction to Data Mining and Its Applications by S. Sumathi, S.N. Sivanandam Publisher Springer Science & Business Media Published Date 2006-09-26 Page Count 828 Categories Computers / Artificial Intelligence / General, Computers / Data Science / Data Analytics, Computers / Artificial Intelligence / Expert Systems, Computers / Information Technology, Mathematics / Applied, Mathematics / Probability & Statistics / General, Technology & Engineering / Engineering (General) Language EN Average Rating 5 (based on 1 ratings) Maturity Rating No Mature Content Detected ISBN 3540343504 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. More Information
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.