DATA MINING TECHNIQUES ARUN K PUJARI UNIVERSITY PRESS EPUB DOWNLOAD

Data Mining Techniques – Arun K. Pujari – Ebook download as PDF File .pdf), Text File .txt) or read book online. Arun K Pujari. 23 Feb Data Mining Techniques addresses all the major and latest techniques of data techniques arun k pujari university press pdf Issuu is a digital. Data mining techniques /​ Arun K. Pujari. Author. Pujari, Arun K. Published. Hyderabad ; [Great Britain]: Universities Press, Physical Description. xviii,

Author: Moogugor Goltibar
Country: Turks & Caicos Islands
Language: English (Spanish)
Genre: Software
Published (Last): 2 March 2012
Pages: 462
PDF File Size: 18.36 Mb
ePub File Size: 3.17 Mb
ISBN: 903-6-94113-723-2
Downloads: 47629
Price: Free* [*Free Regsitration Required]
Uploader: Sazahn

View online Borrow Buy Freely available Show 0 more links Login to add to list.

Data Mining – Arun K. Pujari

Home This editionEnglish, Book, Illustrated edition: Interesting and recent developments such as support vector machines and rough set theory are also data mining techniques arun k pujari university press. Contributors Author sEditor sTranslator sIllustrator s etc. Defence Science and Technology Group.

To include a pujati in your tag, surround the tag with double quotes. Then set up a personal list of libraries from your profile page by clicking on your user name prese the top right of any screen.

Published Hyderabad ; [Great Britain]: Author Pujari, Arun K. Public Private login e.

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

It can also serve as a handbook for researchers in the area of data mining and data warehousing. This single location in All: This single location in Victoria: In this edition, the chapter on data warehousing has data mining techniques arun k pujari university press thoroughly revised and its scope of coverage expanded to include a detailed discussion on multidimensional data modelling and cube computation.

It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. Comments and reviews What are comments? Be the first to add this to a list.

None of your libraries hold this dwta. Contents Data warehousing Data mining Association rules Clustering techniques Decision trees Web mining Temporal and spatial data mining. We were unable to find this edition in any bookshop we are able to search. Found at these bookshops Searching – please wait Lists What are lists? Tags What are tags?

Separate different tags with a comma. In order to set up a list of libraries that you have technniques to, you must first login or sign up.

Physical Description xviii, p. The inclusion of well thought out illustrated examples for making the concepts clear to a first time reader makes the book suitable as a textbook for students of computer science, mathematical science and management science. Notes Includes bibliographical references.

Book Contents Author About the Book Data Universitty Techniques addresses all the major and latest techniques of data mining and data warehousing.

Add a tag Cancel Be the first to add a tag for this edition.

Set up My libraries How do I set up “My libraries”? See Disclaimer and Privacy Policy. Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. Skip to content Skip to search.