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,
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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.
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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?
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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.
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