This Book Addresses All The Major And Latest Techniques Of Data Mining And Data Warehousing. It Deals With The Latest Algorithms For Discussing. Data Mining Techniques. Universities Press (India) Private Limited Bibliographic information. QR code for Data Mining Techniques. Data Mining Techniques – Arun K.

Pujari – Ebook download as PDF File.pdf), Text File.txt) or read book online. Arun K Pujari. Author: Gohn Sasar Country: New Zealand Language: English (Spanish) Genre: Software Published (Last): 8 January 2013 Pages: 124 PDF File Size: 2.84 Mb ePub File Size: 13.44 Mb ISBN: 366-4-19183-279-6 Downloads: 10631 Price: Free* [ *Free Regsitration Required] Uploader: Login to add to list. Item s unavailable for purchase. Contents Data warehousing Data mining Association rules Clustering techniques Decision trees Web mining Temporal and spatial data mining. Please review your cart.

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Universities Press. Concept contains count the support dashed circle data mining data mining techniques data warehouse data warehousing decision. Uncategories Data Mining Techniques By Arun K Pujari. Data Mining Techniques By Arun K Pujari Sudi Krth 22:29. Data Mining Techniques By Arun K Pujari. Book Description: Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. It deals in detail with the latest algorithms for discovering.

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The book also discusses the mining of web data, spatial data, temporal data and text data. Defence Science and Technology Group.

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Pujari Advances in Databases and Information Systems. Not open to the public This book can serve as a textbook for students of computer science, mathematical science and management upjari.

This Book Addresses All The Major And Latest Techniques Of Data Mining And Data Warehousing. It Deals With The Latest Algorithms For Discussing Association Rules, Decision Trees, Clustering, Neural Networks And Genetic Algorithms.

The Book Also Discusses The Mining Of Web Data, Temporal And Text Data. It Can Serve As A Textbook For Students Of Compuer Science, Mathematical Science And Management Science, And Also Be An Excellent Handbook For Researchers In The Area Of Data Mining And Warehousing.