Professor Pujari is at present the vice-chancellor of Sambalpur University. He received his PhD from the Indian Institute of Technology Kanpur and MSc from Sambalpur University, Sambalpur. About the Author Arun K Pujari is Professor of Computer Science at the University of Hyderabad, Hyderabad. Prior to joining the university, he served at the Automated
| Title | : | Data Mining Techniques |
| Author | : | |
| Rating | : | 4.96 (194 Votes) |
| Asin | : | B00BNB58PC |
| Format Type | : | Hardcover |
| Number of Pages | : | 133Pages |
| Publish Date | : | 2016-2-30 |
| Language | : |
Professor Pujari is at present the vice-chancellor of Sambalpur University. He received his PhD from the Indian Institute of Technology Kanpur and MSc from Sambalpur University, Sambalpur. About the Author Arun K Pujari is Professor of Computer Science at the University of Hyderabad, Hyderabad. Prior to joining the university, he served at the Automated Cartography Cell, Survey of India, Dehradun, and Jawaharlal Nehru University, New Delhi. . He has also been on visiting ssignments to the Institute of Industrial Sciences, University of Tokyo; International Institute of Software Technology, United Nations University, Macau; University of Memphis, USA; and Griffith University, Australia, among others
Professor Pujari is at present the vice-chancellor of Sambalpur University. Arun K Pujari is Professor of Computer Science at the University of Hyderabad, Hyderabad. . He received his PhD from the Indian Institute of Technology Kanpur and MSc from Sambalpur University, Sambalpur. Prior to joining the university, he served at the Automated Cartography Cell, Survey of India, Dehradun, and Jawaharlal Nehru University, New Delhi. He has also been on visiting ssignments to the Institute of Industrial Sciences, University of Tokyo; International Institute of Software Technology, United Nations University, Macau; University of Memphis, USA; and Griffith University, AustrHe provides incredible insight into the dynamics of dealing with judges and the mechanics of moving paper. I knew that. Paul Ryan of Wisconsin and Ayn Rand in favor of self-centeredness and selfishness.Gary Dorrien sees Albert Ritschl (1822-1889) as establishing the framework out of which the social gospel movement developed. But Dorrien's chapter about Obama is disappointing, to say the least. This is my second Goobee book. In olden times, lands beyond the oceans were myths and rumors and "HEER BE DRAGONNES" anything goes. Extraordinary, captivating, and, in general, surprisingly fair- all of these words describe Hayman's telling of the remarkable life of one of the greatest thinkers of the past century. I'm only about 4 chapters into the book and was pleased to find that I had already implemented several of her ideas and suggestions for improving gut health, so I am on the right track, a work in progress, and there is more I can do!So far the book is excellent and very helpful, I highly recommend it!I'm sure that I'll have more comments and opinions as I read along.It's also worthThe rough set theory, which is a tool of sets and relations for studying imprecision, vagueness, and uncertainty in data analysis, is a relatively new mathematical and artificial intelligence technique. The discussion on association rule mining has been extended to include rapid association rule mining (RARM), FP-Tree Growth Algorithm for discovering association rule and the Eclat and dEclat algorithms. It can also be an excellent handbook for researchers in the area of data mining and data warehousing. The revised edition includes a comprehensive chapter on rough set theory. This book can serve as a textbook for students of computer science, mathematical science and management science. The book contains the algorithmic details of different techniques such as A priori, Pincer-search, Dynamic Itemset Counting, FP-Tree growth, SLIQ, SPRINT, BOAT, CART, RainForest, BIRCH, CURE, BUBBLE, ROCK, STIRR, PAM, CLARANS, DBSCAN, GSP, SPADE, SPIRIT, etc. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. These appear in Chapter 4. . Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. 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
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