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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