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: Mile Arashidal
Country: Lebanon
Language: English (Spanish)
Genre: Literature
Published (Last): 22 April 2010
Pages: 371
PDF File Size: 5.46 Mb
ePub File Size: 14.18 Mb
ISBN: 222-4-53055-516-1
Downloads: 35002
Price: Free* [*Free Regsitration Required]
Uploader: Tunris

This book can serve as a textbook for students of computer science, mathematical science and management science. Handbook of Big Data Technologies. Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book.

Machine Learning for Developers. Integration of Reusable Systems. Tags What are tags? Machine Learning and Security. Fundamentals of Stream Processing. 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.


Continue shopping Checkout Continue shopping. 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. Principles of Data Integration. The revised edition includes a comprehensive chapter on rough set theory.

Software Engineering and Methodology for Emerging Domains. Readings in Artificial Intelligence and Software Engineering.

Join Kobo & start eReading today

Automated Data Collection with R. Found at these bookshops Searching – please tchniques The Functional Approach to Programming.

Published Hyderabad ; [Great Britain]: Add a tag Cancel Be the first to add a tag for this edition. View online Borrow Buy Freely available Show 0 more links Practical Machine Learning Tools and Techniques.

Introduction to Information Retrieval. 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. None of your libraries hold this item. Artificial Intelligence for Big Data. Lists What are lists? Progress in Advanced Computing and Intelligent Engineering. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms.


In order to set up a list of libraries that you have access to, you must first login or sign up. We’ll publish them on our site once we’ve reviewed them. Notes Includes bibliographical references.

Data Mining – Arun K. Pujari

Deep Learning with Hadoop. Overall rating No ratings yet 0. How to write a great review.

Scalable Pattern Recognition Algorithms. Skip to content Skip to search. Computational Intelligence in Data Mining. Big Data Analytics universsity R and Hadoop. Innovations, Standards and Practices of Web Services.

Data mining techniques / Arun K. Pujari. – Version details – Trove

Clustering and Information Retrieval. Public Private login e. Home This editionEnglish, Book, Illustrated edition: Fundamentals of Predictive Text Mining. Professor Yanhong Annie Liu. This single location in Victoria: