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

Be the first to review this item Amazon Best Sellers Rank: Withoutabox Submit to Film Festivals. Amazon Restaurants Food delivery from local restaurants. This book offers a clear and comprehensive introduction to both data mining theory and practice.

Product details Paperback Publisher: Amazon Drive Cloud storage from Amazon. The book also provides many g.l.gupta, review questions, multiple choice questions, chapter-end exercises and a good list of references and Cwse resources especially those which are easy to understand and useful for students. ComiXology Thousands b Digital Comics.

Shopbop Designer Fashion Brands. 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. Search Engines and Query Mining.

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Alexa Actionable Analytics for the Web. 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.

Share your thoughts with other customers. He is also the author of the book Database Management Systems. The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. Amazon Advertising Find, attract, and engage customers. Amazon Renewed Refurbished products with a warranty.

Read more Read less. Write a customer review. Answers to Multiple Choice Questions. Don’t have a Kindle? Learn more about Amazon Prime. Studying the case studies provides the reader with a greater insight into the data mining techniques.

The sthdies 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.

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Introduction to Data Mining with Case Studies

The techniques include data pre-processing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and OLAP. Account Options Sign in. Studying the case studies provides the reader with a greater insight into the data mining techniques. 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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Amazon Inspire Digital Educational Resources. A number of class projects have also been included.

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There’s a problem loading this menu right now. Information Privacyand Data Mining. Most case studies deal with real business problems for example, marketing, e-commerce, CRM. 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 kining journals.

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

He iwth more than 35 years of distinguished career in academic management as well as in sith technology education, research and professional activities.

This book offers a clear and comprehensive introduction to both data mining theory and practice. The techniques include data preprocessing, association rule mining, supervised classification, cluster analysis, web data mining, search engine g.k.gu;ta mining, data warehousing and olap.

Gupta No preview available – My library Help Advanced Book Search. East Dane Designer Men’s Fashion. Selected pages Page xvii. Try the Kindle edition and experience these great reading features: