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- Data mining: concepts and techniques by Jiawei Han and Micheline Kamber
- Data Mining Concepts and Techniques by Jiawei Han and Micheline
- DATA MINING: CONCEPTS AND TECHNIQUES 3RD EDITION
Data mining: concepts and techniques by Jiawei Han and Micheline Kamber
Analyzing large amounts of data is a necessity. Every enterprise benefits from collecting and ana- lyzing its data: Hospitals can spot trends and anomalies in their patient records, search engines can do better ranking and ad placement, and environmental and public health agencies can spot patterns and abnormalities in their data. The list continues, with cybersecurity and computer network intrusion detection; monitoring of the energy consumption of household appliances; pattern analysis in bioinformatics and pharma- ceutical data; financial and business intelligence data; spotting trends in blogs, Twitter, and many more. Storage is inexpensive and getting even less so, as are data sensors. Thus, collecting and storing data is easier than ever before.
Data mining has emerged as a major frontier field of study in recent years. Aimed at extracting useful and interesting patterns and knowledge from large data repositories such as databases and the Web, the field of data mining integrates techniques from database, statistics and artificial intelligence. This course will provide a broad overview of the field, preparing the students with the ability to conduct research in the field. The following instructions show how you can apply for a CSE account. This link can only be accessible within the UST campus network. Agrawal, R.
Data Mining Concepts and Techniques by Jiawei Han and Micheline
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Jiawei Han and Micheline Kamber have been leading contributors to data mining research. This is the text Table of contents of the book in PDF. Errata on the.
DATA MINING: CONCEPTS AND TECHNIQUES 3RD EDITION
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Some of the exercises in Data Mining: Concepts and Techniques are themselves good research topics that may lead to future Master or Ph. ISBN Posted by Unknown at