Data Mining: Techniques. Front Cover. Arun K. Pujari. Universities Press, – pages Bibliographic information. QR code for Data Mining. Data Mining Techniques [Arun K Pujari] on *FREE* shipping on qualifying offers. Data Mining Techniques addresses all the major and latest. Data Mining Techniques – Arun K. Pujari – Ebook download as PDF File .pdf), Text File .txt) or read book online. Arun K Pujari.

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The book also discusses the mining of web data, spatial data, temporal data and text data. Defence Science and Technology Group. Practical Machine Learning Tools and Techniques. It can also be an excellent handbook for researchers in the area of data mining and data warehousing.

Deep Learning with Hadoop. In order to set up a list of libraries that you have access to, you must first login or sign up. Progress in Advanced Computing and Intelligent Engineering.

Would you like us to take another look at this review? At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer’s personal information. This single location in Victoria: Buy the eBook Price: Rational Foundations of Information-Knowledge Dynamics. Machine Learning with R. Published Hyderabad ; [Great Britain]: Model and Data Engineering.


To include a comma in your tag, surround the tag with double quotes. Skip to content Skip to search. Computational Intelligence in Data Mining. We were unable to find this edition in any bookshop we are able to search. Comments and reviews What are comments?

Data Mining – Arun K. Pujari – PDF Drive

You’ve successfully reported this review. Integration of Reusable Systems. Contents Data warehousing Data mining Association rules Clustering techniques Decision trees Web mining Temporal and spatial data mining. Data Analysis with Dqta Source Tools.

Set up My libraries How do I set up “My libraries”? Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book. Redis Programming by Example.

Machine Learning for Data Streams. How to write a great review Do Say what you liked best and least Describe the author’s style Explain the rating you gave Don’t Use rude and profane language Include any personal information Mention spoilers or the book’s price Recap the plot. Notes Includes bibliographical references. You can remove the unavailable item s now or we’ll automatically dta it at Checkout. Please review your cart. Author Pujari, Arun K.


Overall rating No ratings yet 0. 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. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms.

Data Mining – Arun K. Pujari

Your display name should be at least 2 characters long. Physical Description xviii, p. Advanced Machine Learning with Python.

Distributed Computing and Internet Technology. Public Private login e. Machine Learning for Evolution Strategies. Separate different tags with a comma.