data mining techniques by arun k pujari pdf free download

It can also serve as a handbook for researchers in the area of data mining and data warehousing. 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. The book also discusses the mining of web data, spatial data, temporal data and text data. Interesting and recent developments such as support vector machines and rough set theory are also covered. The book contains the algorithmic details of different techniques such as Apriori, Pincer-search, Dynamic Itemset Counting, FP-Tree growth, SLIQ, SPRINT, BOAT, CART, RainForest, BIRCH, CURE, BUBBLE, ROCK, STIRR, PAM, CLARANS, DBSCAN, GSP, SPADE and SPIRIT. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. Download Data Mining Techniques.pdf Read Online Data Mining Techniques.pdfĢ Data Mining Techniques By Arun K Pujari Data Mining Techniques By Arun K Pujari Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. The discussion on genetic algorithms too has been considerably expanded to bring to fore its applications in the context of data mining. 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 and cube computation.

1 Data Mining Techniques By Arun K Pujari Data Mining Techniques By Arun K Pujari Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing.

Data mining techniques by arun k pujari pdf free download