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Data Mining and Analysis

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Release : 2014-05-12
Genre : Computers
Kind : eBook
Book Rating : 338/5 ( reviews)

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Book Synopsis Data Mining and Analysis by : Mohammed J. Zaki

Download or read book Data Mining and Analysis written by Mohammed J. Zaki. This book was released on 2014-05-12. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.

Data Mining and Machine Learning

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Release : 2020-01-30
Genre : Business & Economics
Kind : eBook
Book Rating : 989/5 ( reviews)

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Book Synopsis Data Mining and Machine Learning by : Mohammed J. Zaki

Download or read book Data Mining and Machine Learning written by Mohammed J. Zaki. This book was released on 2020-01-30. Available in PDF, EPUB and Kindle. Book excerpt: New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.

Introduction to Data Mining and Analytics

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Release : 2020-02-03
Genre : Computers
Kind : eBook
Book Rating : 480/5 ( reviews)

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Book Synopsis Introduction to Data Mining and Analytics by : Kris Jamsa

Download or read book Introduction to Data Mining and Analytics written by Kris Jamsa. This book was released on 2020-02-03. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation.

Handbook of Statistical Analysis and Data Mining Applications

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Release : 2017-11-09
Genre : Mathematics
Kind : eBook
Book Rating : 458/5 ( reviews)

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Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Ken Yale

Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Ken Yale. This book was released on 2017-11-09. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Commercial Data Mining

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Release : 2014-01-29
Genre : Computers
Kind : eBook
Book Rating : 58X/5 ( reviews)

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Book Synopsis Commercial Data Mining by : David Nettleton

Download or read book Commercial Data Mining written by David Nettleton. This book was released on 2014-01-29. Available in PDF, EPUB and Kindle. Book excerpt: Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. - Illustrates cost-benefit evaluation of potential projects - Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools - Approachable reference can be read from cover to cover by readers of all experience levels - Includes practical examples and case studies as well as actionable business insights from author's own experience

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