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It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. Software Engineering and Methodology for Emerging Domains. Progress in Advanced Computing and Intelligent Xrun.

Data Mining: Techniques – Arun K. Pujari – Google Books

Integration of Reusable Systems. Practical Machine Learning Tools and Techniques.

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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. Fundamentals aun Stream Processing.

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Handbook of Constraint Programming. Database and Expert Systems Applications.


Mastering Java Machine Learning. Machine Learning for Data Streams. Machine Learning with R. Computational Intelligence in Data Mining.

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We’ll publish them on our site once we’ve reviewed them. The revised edition includes a comprehensive chapter on rough set theory. Data Mining Techniques by Arun K. At Kobo, we try to daata that published reviews do not contain rude or profane language, spoilers, or any of our reviewer’s personal information.

Advanced Machine Learning with Python. How to write a great review. It can also be an excellent handbook for researchers in the area of data mining and data warehousing.

Principles of Data Integration. Database Systems for Advanced Applications. Data Analysis with Open Source Tools. Deep Learning with Hadoop.

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