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: Brajora Zologul
Country: Azerbaijan
Language: English (Spanish)
Genre: Marketing
Published (Last): 2 May 2004
Pages: 299
PDF File Size: 1.60 Mb
ePub File Size: 8.42 Mb
ISBN: 324-4-77701-976-9
Downloads: 51594
Price: Free* [*Free Regsitration Required]
Uploader: Arajinn

The review must be at least 50 characters long. Please review your cart. Data Analysis with Open Source Tools. The revised edition includes a comprehensive chapter on rough set theory. Machine Learning for Developers. Automated Data Collection with R.

Data Mining – Arun K. Pujari – PDF Drive

The Functional Approach to Programming. Author Pujari, Arun K. Set up My libraries How do I set up “My libraries”?

Introduction to Information Retrieval. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. Deep Learning with Hadoop.


Information and Communication Technology for Sustainable Development.

Advanced Machine Learning with Python. Machine Learning with R. It can also be an excellent handbook for researchers in the area of data mining and data warehousing. Close Report a review At Kobo, we try to ensure that published reviews do not dataa rude or profane language, spoilers, or any of our reviewer’s personal information.

Machine Learning for Evolution Strategies. Teechniques Matching and Mapping. Professor Yanhong Annie Liu. Principles of Data Integration. Login to add to list. Ratings and Reviews 0 0 star ratings 0 reviews.

Notes Includes bibliographical references. Redis Programming by Example. Physical Description xviii, p. How to write a great review. Be the first to add this to a list.

Data Mining – Arun K. Pujari

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.

You also may like to try some of these bookshopsaeun may or may not sell this item. Clustering and Information Retrieval. 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.


Fundamentals of Predictive Text Mining.

Innovations, Standards and Practices of Web Services. Formal Aspects of Component Software. You can remove the unavailable item s now or we’ll automatically remove it at Checkout. Machine Learning in Python. Comments and reviews What are comments?

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

Machine Learning for Data Streams. Software Engineering and Methodology for Emerging Domains. Scalable Pattern Recognition Algorithms. Tags What are tags? This single location in All: Database and Expert Systems Applications. Practical Machine Learning Tools and Techniques.