Data Analysis and Pattern Recognition in Multiple Databases by Animesh Adhikari

Data Analysis and Pattern Recognition in Multiple Databases by Animesh Adhikari

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources.

Witold Pedrycz, Ph.D., is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland and King Abdulaziz University, Saudi Arabia. In 2009, Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. He is a Fellow of the Royal Society of Canada, the Institute of Electronic and Electrical Engineers (IEEE), International Fuzzy Systems Association (IFSA), International Society of Management Engineers, Engineers Canada, and The Engineering Institute of Canada. He is editor-in-chief of Information Sciences and editor-in-chief of IEEE Transactions on Systems, Man, and Cybernetics, Part A. He currently serves as an associate editor of IEEE Transactions on Fuzzy Systems and a number of other international journals. In 2007, he received the prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. Dr. Pedrycz is a recipient of the IEEE Canada Computer Engineering Medal. In 2009, he received a Cajastur Prize for Soft Computing from the European Centre for Soft Computing for pioneering and multifaceted contributions to granular computing. In 2013 he received a prestigious Killam Prize.

SKU	Unavailable
ISBN 13	9783319034096
ISBN 10	331903409X
Title	Data Analysis and Pattern Recognition in Multiple Databases
Author	Animesh Adhikari
Series	Intelligent Systems Reference Library
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer International Publishing AG
Year published	2013-12-18
Number of pages	238
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.