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Introduction To Data Mining Book Hotfile Mar 05 2019 a Introduction to data mining by Tan Steinbach Kumar 2006 Basically this book is a very good introduction book to data mining It discusses all the main topics of data mining That are clustering classification pattern mining and outlier detection Moreover it contains two very good chapters on clustering by Tan Kumar
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Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University He received his M S degree in Physics and Ph D degree in Computer Science from University of Minnesota His research interests focus on the development of novel data mining algorithms for a broad range of applications including climate and ecological sciences cybersecurity
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– Introduction to Data Mining by Pang-Ning Tan Michael Steinbach and Vipin Kumar 2003 – Data Mining: Concepts and Techniques by Jiawei Han and Micheline Kamber 2000 University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining I C Q
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Data Mining is the computational process of discovering patterns trends and behaviors in large data sets using artificial intelligence machine learning statistics and database systems The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use
The field of data mining lies at the confluence of predictive analytics statistical analysis and business intelligence Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science business and health care the process of discovering knowledge in data is more relevant than ever before
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