Data mining book pujari

Readings in Artificial Intelligence and Software Engineering. Data Mining and Constraint Programming. The discussion on association rule mining has been extended to include rapid association rule mining RARM , FP-Tree Growth Algorithm for discovering association rule and the Eclat and dEclat algorithms. Python Machine Learning By Example. Find Rare Books Book Value.

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Big Data Analytics with R and Hadoop. It can also be an excellent handbook for researchers in the area of data mining and data warehousing. Introduction to Information Retrieval.

The rough set theory, which is a tool of sets and relations for studying imprecision, vagueness, and uncertainty in data analysis, is a relatively new mathematical and artificial intelligence technique.

The revised edition includes a comprehensive chapter on rough set theory.

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Clustering and Information Retrieval. Pujari Orient BlackSwan Pvt. Continue shopping Checkout Continue shopping.

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Data Mining Techniques - Arun K. Pujari - Google Books

Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book.

Database Systems for Advanced Applications. The revised edition includes a comprehensive chapter on rough set theory. Xata Computing and Internet Technology. The Functional Approach to Programming.

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Data Mining Techniques by Arun K Pujari

Data Mining Techniques Arun K. Machine Learning and Security. Principles of Data Integration. Chi ama i libri sceglie Kobo e inMondadori. Data Analysis with Open Source Tools.

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Data Mining Techniques

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