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 techniques / Arun K. Pujari. – Version details – Trove
Contributors Author sEditor sTranslator sIllustrator s etc. We were unable to find this edition in any bookshop we are able to search.
None of your libraries hold this item. In this edition, the chapter on data warehousing has been thoroughly revised and its scope of coverage expanded to include a detailed discussion on multidimensional data modelling univedsity cube computation. Add a tag Cancel Be the first to add a tag for this edition. Book Contents Author About the Book Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing.
Comments and reviews What are comments? To include a comma in your tag, surround the tag with double quotes. Data Mining Techniques addresses all the major and latest techniques of data mining mihing data warehousing.
Skip to content Skip to search. Defence Science and Technology Group. Interesting and recent developments such data mining techniques arun k pujari university press support vector machines and rough set theory are also covered. Tags What are tags? Not techniqyes to the public unversity Physical Description xviii, p. These online bookshops told us they have this item: He techinques as the vice-chancellor of Sambalpur University from November to November 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.
Published Hyderabad ; [Great Britain]: Contents Data warehousing Data mining Association rules Clustering techniques Decision trees Web mining Temporal and spatial data mining. Lists What are lists?
The book also discusses the mining of web data, spatial data, temporal data and text data. The inclusion of well thought out illustrated examples for making the concepts clear arrun a first time reader makes the book suitable as a textbook for students of computer science, mathematical science and management science.
Found at these bookshops Searching – please wait You also may like to try some of these bookshopswhich may or may not sell this item. It can also serve as a handbook for researchers in the area of data mining and data warehousing.
Data Mining – Arun K. Pujari
Be the first to add this to a list. Author Pujari, Arun K. This single location in Victoria: It deals in detail with mininf latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. Notes Includes bibliographical references.
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