Data Mining Techniques [Arun K Pujari] on *FREE* shipping on qualifying offers. Data Mining Techniques addresses all the major and latest. Data Mining Techniques (Second Edition): Arun K. Pujari. Stock Image Published by Orient BlackSwan/ Universities Press, New Condition: New Soft. Data Mining Techniques – Arun K. Pujari – Ebook download as PDF File .pdf), Text File .txt) or read book online. Arun K Pujari.

Author: Vonos Vozshura
Country: Bahrain
Language: English (Spanish)
Genre: Science
Published (Last): 19 March 2012
Pages: 281
PDF File Size: 5.76 Mb
ePub File Size: 19.56 Mb
ISBN: 328-9-88510-735-1
Downloads: 7567
Price: Free* [*Free Regsitration Required]
Uploader: Golrajas

Close Report a 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. Home This editionEnglish, Book, Illustrated edition: Applied Cryptography and Network Security.

Clustering and Information Retrieval. Mastering Text Mining with R. The Text Mining Handbook. Contents Data warehousing Data mining Association rules Clustering techniques Decision trees Web mining Temporal and spatial data mining.

Data Mining and Constraint Programming. Defence Science and Technology Group. Machine Learning in Python. Schema Matching and Mapping. Rational Foundations of Information-Knowledge Dynamics.


Data Mining Techniques – Arun K. Pujari – Google Books

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.

Separate different tags with a comma. Artificial Intelligence for Big Data. Distributed Computing and Internet Technology.

It can also be an excellent handbook for researchers in the area of data mining and data warehousing. I revised edition includes a comprehensive chapter on rough set theory.

Data Mining – Arun K. Pujari

Fundamentals of Stream Processing. 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.

This book can serve as a textbook rata students of computer science, mathematical science and management science. The review must be at least 50 characters long. Professor Yanhong Annie Liu. Buy the eBook Price: Big Data Analytics with R and Hadoop.

To include a comma in your tag, surround the tag with double quotes. Add a tag Cancel Be the first to add a tag for this edition.


Item s unavailable for purchase. Principles of Data Integration. You submitted the following rating and review. The book also discusses the mining of web data, spatial data, temporal data and text data.

Notes Includes bibliographical references.

Integration of Reusable Systems. Would you like us to take another look at this review? Ratings and Reviews 0 0 star ratings 0 reviews. The Theory of Info-Dynamics: This single location in All: Deep Learning with Hadoop.

Python Machine Learning By Example. August 24, ISBN: Innovations, Standards and Practices of Web Services. Found at these bookshops Searching – please wait Handbook of Constraint Programming.

Join Kobo & start eReading today

Physical Description xviii, p. Introduction to Information Retrieval. Software Engineering and Methodology for Emerging Domains. These online bookshops told us they have this item: