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Data Mining – Arun K. Pujari
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Data Mining Techniques – Arun K. Pujari – Google Books
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Item s unavailable for purchase. Professor Yanhong Annie Liu. The title should be at least 4 characters long. You can remove the unavailable item s now or we’ll automatically remove it at Checkout. The revised edition includes a comprehensive chapter on rough set theory. Database Systems for Advanced Data mining arun k pujari. Integration of Reusable Systems. The book also discusses the mining of web data, spatial data, temporal data and text data. Schema Matching and Mapping.
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Principles of Data Integration. Machine Learning for Xata Streams. Python Machine Learning By Example. Applied Cryptography and Network Security. Giovanna Di Marzo Serugendo. Data Analysis for Network Cyber-Security. Handbook of Big Data Technologies. Advances in Databases and Information Systems. Model and Data Engineering. Deep Learning with Hadoop.
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You submitted the following rating and review. Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book. Ratings and Reviews arub 0 star ratings 0 reviews.
Formal Aspects of Component Software. The rough set data mining arun k pujari, 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.