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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The techniques include data pre-processing, association studiea mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and OLAP.
My library Help Advanced Book Search. This book offers a clear and comprehensive introduction to both data mining theory and practice. Account Options Sign in. Get to Know Us. Write a customer review. He has more than 35 years of distinguished career in academic management as well as in information technology education, research and professional activities.
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INTRODUCTION TO DATA MINING WITH CASE STUDIES – G. K. GUPTA – Google Books
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Introduction to Data Mining with Case Studies
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. 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 understand and useful for students. Most case studies deal with real business problems for example, marketing, e-commerce, CRM.
Gupta No mniing available – The techniques include data preprocessing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and mihing.
Introduction to Data Mining with Case Studies: G K Gupta: : Books
Be the first to review this item Amazon Best Sellers Rank: This book offers a clear minnig comprehensive introduction to both data mining theory and practice.
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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. Data Understanding and Data Preparation.
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INTRODUCTION TO DATA MINING WITH CASE STUDIES
The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. If you are a seller for this product, would you like to suggest updates through seller support?
Amazon Renewed Refurbished products with a warranty. Studying the case studies provides the reader with a greater insight into the data mining techniques. 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.
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. Amazon Music Stream millions of songs. Shopbop Designer Fashion Brands. Amazon Inspire Digital Educational Resources. It is written primarily as a textbook for the students of computer science, management, computer applications, and information technology.
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