Data Mining Using Neural Network

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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 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.

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.

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.

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.

Data Mining And Reverse Engineering

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Author : Stefano Spaccapietra
language : en
Publisher: Springer
Release Date : 2013-03-14

Data Mining And Reverse Engineering written by Stefano Spaccapietra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.

Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.

Data Mining And Big Data Analytics With Neural Networks Using Matlab

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Author : C Perez
language : en
Publisher: Independently Published
Release Date : 2019-05-22

Data Mining And Big Data Analytics With Neural Networks Using Matlab written by C Perez and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with categories.

The availability of large volumes of data (Big Data) and the generalized use of computer tools has transformed research and data analysis, orienting it towards certain specialized techniques encompassed under the generic name of Analytics (Big Data Analytics) that includes Multivariate Data Analysis (MDA), Data Mining and other Business Intelligence techniques.Data Mining can be defined as a process of discovering new and significant relationships, patterns and trends when examining large amounts of data. The techniques of Data Mining pursue the automatic discovery of the knowledge contained in the information stored in an orderly manner in large databases. These techniques aim to discover patterns, profiles and trends through the analysis of data using advanced statistical techniques of multivariate data analysis.The goal is to allow the researcher-analyst to find a useful solution to the problem raised through a better understanding of the existing data.Data Mining uses two types of techniques: predictive techniques, which trains a model on known input and output data so that it can predict future outputs, and descriptive techniques, which finds hidden patterns or intrinsic structures in input data.

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.

Innovations In Applied Artificial Intelligence

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Author : Bob Orchard
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-05-07

Innovations In Applied Artificial Intelligence written by Bob Orchard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-07 with Computers categories.

This book constitutes the refereed proceedings of the 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, held in Ottawa, Canada, in May 2004. The 129 revised full papers presented were carefully reviewed and selected from 208 submissions. The papers are organized in topical sections on neural networks, bioinformatics, data mining, general applications, autonomous agents, intelligent systems, knowledge processing and NLP, intelligent user interfaces, evolutionary computing, fuzzy logic, human-roboter interaction, computer vision and image processing, machine learning and case-based reasoning, heuristic search, security, Internet applications, planning and scheduling, constraint satisfaction, e-learning, expert systems, applications to design, machine learning, and image processing.

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.