Data Mining Using Neural Networks

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Data Mining With Neural Networks

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Author : Joseph P. Bigus
language : en
Publisher: McGraw-Hill Companies
Release Date : 1996

Data Mining With Neural Networks written by Joseph P. Bigus and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Business & Economics categories.

readers will find concrete implementation strategies, reinforced with real-world business examples and a minimum of formulas, and case studies drawn from a broad range of industries. The book illustrates the popular data mining functions of classification, clustering, modeling, and time-series forecasting--through examples developed using the IBM Neural Network Utility.

Data Mining Using Neural Networks

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Author : Glenn E. Gearhard
language : en
Publisher:
Release Date : 1996

Data Mining Using Neural Networks written by Glenn E. Gearhard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Data mining categories.

Data Mining Using Neural Network

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Author : Devesh Katiyar
language : en
Publisher:
Release Date : 2017-08-11

Data Mining Using Neural Network written by Devesh Katiyar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-11 with categories.

Introduction To Data Mining

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Author : Rudy Setiono
language : en
Publisher:
Release Date : 2010

Introduction To Data Mining written by Rudy Setiono and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.

Data Mining Using Neural Networks With Rule Extraction

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Author : Kevin D. Craig
language : en
Publisher:
Release Date : 2004

Data Mining Using Neural Networks With Rule Extraction written by Kevin D. Craig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Data mining categories.

Examines the process of using neural networks combined with rule extraction to determine if useful information about a data set can be expressed in the more comprehensible form of expert system type rules.

Data Mining Using Neural Networks

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Author : Basilio De Braganca Pereira
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2012-07-01

Data Mining Using Neural Networks written by Basilio De Braganca Pereira and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-01 with Business & Economics categories.

A concise, easy-to-understand guide to using neural networks in data mining for mathematics, engineering, psychology, and computer science applications, this book compares how neural network models and statistical models are used to tackle data analysis problems. It focuses on the top of the hierarchy of the computational process and shows how neural networks can perform traditional statistical methods of analysis. The book includes some classical and Bayesian statistical inference results and employs R to illustrate the techniques.

Methodologies For Knowledge Discovery And Data Mining

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Author : Ning Zhong
language : en
Publisher: Springer
Release Date : 2003-06-29

Methodologies For Knowledge Discovery And Data Mining written by Ning Zhong and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-29 with Computers categories.

This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.

Process Data Mining Using Neural Networks And Inductive Learning

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Author : Bei Yuan
language : en
Publisher:
Release Date : 2002

Process Data Mining Using Neural Networks And Inductive Learning written by Bei Yuan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.

Online Data Mining Using Evolving Neural Networks

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Author : Nadeem Ahmed
language : en
Publisher:
Release Date : 2004

Online Data Mining Using Evolving Neural Networks written by Nadeem Ahmed and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Data mining categories.

"The primary aim of this research is to develop an intelligent system for online data mining for classification problems."--Abstract, p. iii.

Cognitive Informatics And Soft Computing

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Author : Pradeep Kumar Mallick
language : en
Publisher: Springer
Release Date : 2018-08-11

Cognitive Informatics And Soft Computing written by Pradeep Kumar Mallick and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-11 with Technology & Engineering categories.

The book presents new approaches and methods for solving real-world problems. It offers, in particular, exploratory research that describes novel approaches in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are also presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory and Software Engineering.