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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Data Mining and Constraint Programming. Set up My libraries How do I set up “My libraries”? This book can serve as a textbook for students of computer science, mathematical science and management science.

Automated Data Collection with R. 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. Not open to the public Schema Matching and Mapping. Practical Machine Learning Tools and Techniques.

Physical Description xviii, p. You’ve successfully reported this review. Data Analysis with Open Source Tools. Machine Learning with R.


Machine Learning for Developers. Integration of Reusable Systems. Skip to content Skip to search. You can read this item using any of the following Kobo apps and devices: Published Hyderabad ; [Great Britain]: Machine Learning in Python.

Software Engineering and Methodology for Emerging Domains. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen. Distributed Computing and Internet Technology. Machine Learning and Security. Mastering Java Machine Learning.

Machine Learning for Data Streams. Overall rating No ratings yet 0. Defence Science and Technology Group. You submitted the following rating and review.

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These online bookshops told us they have this item: Advances in Databases and Information Systems. Scalable Pattern Recognition Algorithms. Information and Communication Technology for Sustainable Development. Handbook of Constraint Programming. The rough set aruun, 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. Author Pujari, Arun K.

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

We’ll publish them on our site once we’ve reviewed them. Found at these bookshops Searching – please wait Database and Expert Systems Applications. Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book. The title should be at least 4 characters long.


The revised edition includes a comprehensive chapter on rough set theory. The Functional Approach to Programming. In order to set up a list of libraries that xrun have access to, you must first login or sign up. Be the first to add this to a list.

It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. Principles of Data Integration.

Data Mining – Arun K. Pujari

Contents Data warehousing Data mining Association rules Mininv techniques Decision trees Web mining Temporal and spatial data mining. Tags What are tags? Lists What are lists?