DATA MINING WITH CASE STUDIES BY G.K.GUPTA PDF

DATA MINING WITH CASE STUDIES BY G.K.GUPTA PDF

Introduction to Data Mining with Case Studies. Front Cover. G.K. Gupta. Prentice- Hall Of India Pvt. Limited, – Data mining – pages. The book ensures that the students learn the major data mining techniques Most case studies deal with real business problems (for example, marketing, G.K. GUPTA, Ph.D. from Monash University, is currently Adjunct. Title, Introduction to Data Mining with Case Studies. Author, G. K. Gupta. Publisher, Prentice-Hall Of India Pv, ISBN, ,

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Most case studies deal with real business problems for example, marketing, ecommerce, crm. The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises.

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Introduction to Data Mining with Case Studies – G.K. Gupta – Google Books

The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises. Amazon Drive Cloud storage from Amazon. The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background.

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There’s a problem loading this menu right now. The techniques include data pre-processing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and OLAP. Selected pages Page xvii.

Witn is written primarily as a textbook for the students of computer science, management, computer applications, and information technology. To enhance the understanding of the concepts introduced and to show how the techniques described in the book are used in practice, each chapter is followed by one or two case studies that have been published in scholarly journals.

A number of class projects have also been included.

INTRODUCTION TO DATA MINING WITH CASE STUDIES

The book also provides many examples, review questions, multiple sgudies questions, chapter-end exercises and a good list of references and Web resources especially those which are easy to understand and useful for students. Amazon Inspire Digital Educational Resources.

Search Engines and Query Mining. Amazon Music Stream millions of songs. Don’t have a Kindle? Dwta began his academic career at Monash University and subsequently moved to James Cook University as Foundation Professor and Head to establish a new department of computer science.

ComiXology Thousands of Digital Comics. This book offers a clear and comprehensive introduction to both data mining theory and practice. Most case studies deal with real business problems for example, marketing, e-commerce, CRM.

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Introduction to Data Mining with Case Studies

The techniques include data preprocessing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and olap. Withoutabox Submit to Film Festivals. This book offers a clear and comprehensive introduction to both data mining theory and practice. Information Privacyand Data Mining. To enhance the understanding of the concepts introduced, and to show how the techniques described in the book are used in practice, each chapter is followed by one or two case studies that have been published in scholarly journals.

He has more than 35 years of distinguished career in academic management as well as in information technology education, research and professional activities. The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background.