Intelligent Data Analysis

This book PDF is perfect for those who love Computers genre, written by Michael Berthold and published by Springer Science & Business Media which was released on 17 April 2013 with total hardcover pages 409. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Intelligent Data Analysis books below.

Intelligent Data Analysis
Intelligent Data Analysis
Author : Michael Berthold
File Size : 44,5 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 17 April 2013
ISBN : 9783662039694
Pages : 409 pages
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Intelligent Data Analysis by Michael Berthold Book PDF Summary

This is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The first part of the book discusses classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher level overview of the IDA process and illustrations of its application.

Intelligent Data Analysis

Intelligent Data Analysis by Michael Berthold,David J Hand

This is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The first part of the book discusses classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic,

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Intelligent Data Analysis

Intelligent Data Analysis by Michael R. Berthold,David J Hand

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following

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Intelligent Data Analysis

Intelligent Data Analysis by Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar

This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent

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Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development by Ting Yu,Nitesh Chawla,Simeon Simoff

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

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Intelligent Data Analysis and Applications

Intelligent Data Analysis and Applications by Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang

This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data

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Guide to Intelligent Data Analysis

Guide to Intelligent Data Analysis by Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn

Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we

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Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications by Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to

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Guide to Intelligent Data Science

Guide to Intelligent Data Science by Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn,Rosaria Silipo

Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human

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