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Data Mining and Analysis: Fundamental Concepts and Algorithms

Mohammed J. Zaki, Wagner Meira Jr




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 | #754275 in Books |  imusti |  2014-05-12 | Original language:English | PDF # 1 |  9.96 x1.22 x6.97l,2.75 | File type: PDF | 562 pages

 | Cambridge University Press

||0 of 0 people found the following review helpful.| Detailed examples for Math challenged like myself|By A Reader|The best thing about the book is detailed examples with simple numbers than even more complicated equations. For instance, I was able to understand Kernels by reading this book better than by any book out there, because it gives 10-12 examples of various types of Kernel functions.|2 of 2 people found the following r| |"This book by Mohammed Zaki and Wagner Meira Jr is a great option for teaching a course in data mining or data science. It covers both fundamental and advanced data mining topics, explains the mathematical foundations and the algorithms of data science, includ

The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and stat...

You can specify the type of files you want, for your device.Data Mining and Analysis: Fundamental Concepts and Algorithms   |  Mohammed J. Zaki, Wagner Meira Jr. A good, fresh read, highly recommended.

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