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 association rules, decision trees, clustering, neural networks and genetic algorithms. Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book. The book also discusses the mining of web data, spatial data, temporal data and text data.
|Country:||Republic of Macedonia|
|Published (Last):||13 October 2012|
|PDF File Size:||5.24 Mb|
|ePub File Size:||12.80 Mb|
|Price:||Free* [*Free Regsitration Required]|
Learn more about Scribd Membership Home. Much more than documents. Discover everything Scribd has to offer, including books and audiobooks from major publishers. Start Free Trial Cancel anytime. Data Mining Techniques - Arun K. Date uploaded Aug 29, Did you find this document useful? Is this content inappropriate? Report this Document. Description: Arun K Pujari. Flag for Inappropriate Content. Download Now. Pujari For Later. Related titles. Carousel Previous Carousel Next.
Computer Fundamentals Architecture and Organization. Discrete Mathematical Structures-Kolman. Jump to Page. Search inside document. Sk Reddy. Nilesh Tahilramani. Lawrence Wang. Md Saif. Vamsi Dhar. Jennifer Parker. Edmundo Caetano. Navneet M Kumar. Tan, M. Steinbach, V. Kumar - Adam Wydra. Koch I. Analysis of Multivariate and High-Dimensional Data Hari 'Whew' Prasetyo. Rajesh Kanna. Anonymous phDoExVl.
Pooja Shah. Vikram Jayaram. Priyanka Rathi. Kislay Anand. Hardik Gandhi. Nasir Ahmed. Popular in Data. Udaya Kumar. Bin Rashid. Unichan Jo. Merkiell GT. Nick Edwards. Manraj Gill. Martha Jane Lawhead. Prathyush KanchiReddy. Alex Uhryn. Weizhao Zhang. Gzim Dragusha. Wan Mohd Adnin. Javier Solis. Thea Arguelles.
Data Mining – Arun K. Pujari
Data Mining Techniques