INTRODUCTION TO 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. Title, Introduction to Data Mining with Case Studies. Author, G. K. Gupta. Publisher, Prentice-Hall Of India Pv, ISBN, , This book offers a clear and comprehensive introduction to both data mining theory and practice. It is written Studying the case studies provides the reader with a greater insight into the data mining techniques. The book By G. K. GUPTA.
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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.
Introduction to Data Mining with Case Studies – ppt video online download
Mobile phone market in India is also very competitive. Identify a clear problem owner responsible for the project. Answers to Multiple Choice Questions. There was a problem filtering reviews right now.
INTRODUCTION TO DATA MINING WITH CASE STUDIES
Prachi marked it as to-read Nov 23, studoes Next slide using logarithmic scale shows that disk is now about 10GB per US dollar and the following slide shows that sales of disk storage is growing exponentially.
Although data mining is possible with smaller amount of data, bigger the data, higher the confidence in any unknown pattern that is discovered.
Jyothi rated it did not like it Sep 17, Chetan rated it liked it Nov 02, This is likely to be an iterative process which should lead to selection of one or more techniques that are suitable for further exploration, testing and validation.
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Introduction to Data Mining with Case Studies – ppt download
This will benefit the external integration. Sravani Sayyapureddy added it Jun 26, Number of techniques including decision tree and neural network. Showing of 1 reviews. Akshay Patil marked it as to-read Sep 22, Consider the telecommunications environment in Australia.
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What scales are used in them? A number of class projects have also been included. With new focus on data mining, new algorithms are being developed. Information Privacyand Data Mining. Search Engines and Query Mining. Web usage, Web content and Web structure are discussed in Chapter 5.
Expression and visualization of data mining results is a challenging task. The classical example is the one where a store discovered that people buying nappies tend also to buy beer. To see what your friends thought of this book, please sign up.