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Download the fantastic book titled Data Mining Methods for Knowledge Discovery written by Krzysztof J. Cios, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Mining Methods for Knowledge Discovery", which was released on 06 December 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Data Mining Methods for Knowledge Discovery by Krzysztof J. Cios PDF

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

Data Mining Methods for Knowledge Discovery

Detail About Data Mining Methods for Knowledge Discovery PDF

  • Author : Krzysztof J. Cios
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 508 pages
  • ISBN : 1461555892
  • PDF File Size : 11,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery
  • Publisher : Springer Science & Business Media
  • File Size : 37,8 Mb
  • Release Date : 06 December 2012
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Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the

Data Mining

Data Mining
  • Publisher : Springer Science & Business Media
  • File Size : 21,8 Mb
  • Release Date : 05 October 2007
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This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and

Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining
  • Publisher : Springer Science & Business Media
  • File Size : 30,9 Mb
  • Release Date : 09 March 2013
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This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and

Mathematical Methods for Knowledge Discovery and Data Mining

Mathematical Methods for Knowledge Discovery and Data Mining
  • Publisher : IGI Global
  • File Size : 32,6 Mb
  • Release Date : 31 October 2007
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"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods;

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook
  • Publisher : Springer Science & Business Media
  • File Size : 31,5 Mb
  • Release Date : 10 September 2010
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This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions

Data Mining and Knowledge Discovery with Evolutionary Algorithms

Data Mining and Knowledge Discovery with Evolutionary Algorithms
  • Publisher : Springer Science & Business Media
  • File Size : 54,8 Mb
  • Release Date : 11 November 2013
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This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is

Data Mining and Knowledge Discovery via Logic-Based Methods

Data Mining and Knowledge Discovery via Logic-Based Methods
  • Publisher : Springer Science & Business Media
  • File Size : 54,6 Mb
  • Release Date : 08 June 2010
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The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook
  • Publisher : Springer Science & Business Media
  • File Size : 32,7 Mb
  • Release Date : 28 May 2006
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Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and

Advanced Methods for Knowledge Discovery from Complex Data

Advanced Methods for Knowledge Discovery from Complex Data
  • Publisher : Springer Science & Business Media
  • File Size : 30,7 Mb
  • Release Date : 06 May 2006
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The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering

Geographic Data Mining and Knowledge Discovery

Geographic Data Mining and Knowledge Discovery
  • Publisher : CRC Press
  • File Size : 21,6 Mb
  • Release Date : 27 May 2009
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The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic