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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Amazon Renewed Refurbished products with a warranty. Search Engines and Query Mining. Studying the case studies provides the reader with a greater insight into the data mining techniques.

Don’t have a Kindle? Amazon Music Stream millions of songs. Try the Cxse edition and experience these great reading features: 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. Gupta No preview available – This book offers a clear and comprehensive introduction to both data mining theory and practice.

Account Options Sign in. He 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. Write a customer review.

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Introduction to Data Mining with Case Studies: G K Gupta: : Books

This book offers a clear and comprehensive introduction to both data mining theory and practice. Read more Read less. 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 also provides many examples, review questions, multiple choice questions, chapter-end exercises and a good list of references and Web resources especially those which are easy to understand and useful for students. The techniques include data preprocessing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and olap.

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The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. A number of class projects have also been included. Amazon Restaurants Food delivery from local restaurants.

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Introduction to Data Mining with Case Studies

Alexa Actionable Analytics for the Web. It is written primarily as a textbook for the students of computer science, management, computer applications and information technology. Amazon Inspire Digital Educational Resources.

Mininng Ship Orders Internationally. The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises.

INTRODUCTION TO DATA MINING WITH CASE STUDIES

The book also provides many examples, review questions, multiple choice questions, chaptered exercises and a good list of references and web resources especially those which are easy to sudies and useful for students. Most case studies deal with real business problems for example, marketing, e-commerce, CRM. Studying the case studies provides the reader with a greater insight into the data mining techniques. Answers to Multiple Choice Questions. It is written primarily as a textbook for the students of computer science, management, computer applications, and information technology.

The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises.