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.

Author: Nijin Marisar
Country: Oman
Language: English (Spanish)
Genre: Photos
Published (Last): 3 June 2012
Pages: 368
PDF File Size: 9.55 Mb
ePub File Size: 5.37 Mb
ISBN: 978-7-71404-221-9
Downloads: 43824
Price: Free* [*Free Regsitration Required]
Uploader: Gozahn

Machine Learning for Data Streams. The Functional Approach to Programming. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. August 24, ISBN: Item arunn unavailable for purchase. Progress in Advanced Computing and Intelligent Engineering. Distributed Computing and Internet Technology.

Join Kobo & start eReading today

Please review your cart. Database and Expert Systems Applications. We appreciate your feedback. Automated Data Collection with R. Integration of Reusable Systems. Continue shopping Checkout Continue shopping. 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 pujark Recap the plot.


Machine Learning with R. Model and Data Engineering.

Introduction to Information Retrieval. Machine Learning and Security. Machine Learning for Evolution Strategies.

Mastering Text Mining with R.

Data Mining – Arun K. Pujari

Python Machine Learning By Example. Practical Machine Learning Tools and Techniques. The revised edition includes a comprehensive chapter on rough set theory.

Data Analysis with Open Source Tools.

Big Data Analytics with R and Hadoop. Applied Cryptography and Network Security. Scalable Pattern Recognition Algorithms.

It can also be an excellent handbook for researchers in the area of data mining and data warehousing. We’ll publish them on our site once we’ve reviewed them. Would you like us to take another look at this review? The discussion on association rule mining has been extended to include rapid association rule mining RARMFP-Tree Growth Algorithm for discovering association rule and the Eclat and dEclat algorithms.

Handbook of Big Data Technologies. Fundamentals of Stream Processing. You can remove the unavailable item s now or we’ll automatically remove it at Checkout. Overall rating Arjn ratings yet 0. Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book.

Prof. Arun K Pujari Home Page

Formal Aspects of Component Software. Innovations, Standards and Practices of Web Services. Deep Learning with Hadoop. Data Mining Techniques by Arun K. These appear in Chapter 4.


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.

Data Analysis for Network Cyber-Security. Readings in Artificial Intelligence and Software Engineering. Redis Programming by Example. You can read this item using any of the following Kobo apps and devices: Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing.

Handbook of Constraint Programming.

Data Mining Techniques – Arun K. Pujari – Google Books

The book also discusses the mining of web data, spatial data, temporal data and text data. No, cancel Yes, report it Thanks! Big Data Analytics and Knowledge Discovery. The Pujar of Info-Dynamics: You submitted the following rating and review.