Data Mining With 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.

Neural Networks In Business

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Author : Kate A. Smith
language : en
Publisher: IGI Global
Release Date : 2003-01-01

Neural Networks In Business written by Kate A. Smith and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Computers categories.

"For professionals, students, and academics interested in applying neural networks to a variety of business applications, this reference book introduces the three most common neural network models and how they work. A wide range of business applications and a series of global case studies are presented to illustrate the neural network models provided. Each model or technique is discussed in detail and used to solve a business problem such as managing direct marketing, calculating foreign exchange rates, and improving cash flow forecasting."

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 With Computational Intelligence

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Author : Lipo Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-08

Data Mining With Computational Intelligence written by Lipo Wang 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 2005-12-08 with Computers categories.

Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others. Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks, multilayer perceptron neural networks, radial basis function neural networks, genetic algorithms, and support vector machines in such applications. They focus on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. The book is targeted at researchers in both academia and industry, while graduate students and developers of data mining systems will also profit from the detailed algorithmic descriptions.

Knowledge Discovery And Data Mining

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Author : Max A. Bramer
language : en
Publisher: IET
Release Date : 1999

Knowledge Discovery And Data Mining written by Max A. Bramer and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Business & Economics categories.

Considers knowledge discovery, which has been defined as the extraction of implicit, previously unknown and potentially useful information from data. Early chapters examine technical issues of importance to the future development of the field, including overcoming feature interaction problems, analysis of outliers, rule discovery, and temporal processing. Later chapters describe applications in fields such as medical and health information, meteorology, organic chemistry, and the electric supply industry. The editor is a professor of information technology at the University of Portsmouth, UK. Material originated at a May 1998 colloquium. Annotation copyrighted by Book News, Inc., Portland, OR

Intelligent Data Mining In Law Enforcement Analytics

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Author : Paolo Massimo Buscema
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-28

Intelligent Data Mining In Law Enforcement Analytics written by Paolo Massimo Buscema 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 2012-11-28 with Social Science categories.

This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.

Introduction To Neural Networks And Data Mining For Business Applications

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Author : Kate A. Smith
language : en
Publisher:
Release Date : 1999

Introduction To Neural Networks And Data Mining For Business Applications written by Kate A. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Business categories.

Neural networks are a hot topic in the business community today. Also marketed as intelligent techniques, business intelligence and data mining, many businesses are now realising the potential of neural networks to give them a competitive edge. Nevertheless most neural network books are written by electrical engineers for electrical engineers, with a high level of mathematics. Those few books aimed at the business community invariably focus exclusively on financial prediction. Consequently, Introduction to Neural Networks and Data Mining for Business Applications is a ground breaking text. With a minimum of mathematics, it shows the potential of neural networks to unlock hidden information in data of various industries including retail, marketing, insurance, telecommunications, banking and finance, and operations management. The book covers the development of neural network research and its impact on business; the early neural Perceptron model and its limitations; backpropagation, the most commonly used learning paradigm in business applications; self-organisation; and adaptive resonance theory. Data mining is then covered including the purpose, methodology, and concepts of directed and undirected knowledge discovery. Other intelligent techniques often used in conjunction with neural networks are also covered, including genetic algorithms, fuzzy logic, and expert systems. The text concludes with a discussion of the future of neural networks research and applications. Extensive business case studies are used throughout the text to demonstrate techniques.

Data Mining Big Data Analytics And Machine Learning With Neural Networks Using Matlab

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Author : C Perez
language : en
Publisher: Independently Published
Release Date : 2019-05-23

Data Mining Big Data Analytics And Machine Learning 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 2019-05-23 with categories.

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today's technology, it's possible to analyze your data and get answers from it almost immediately - an effort that's slower and less efficient with more traditional business intelligence solutions.The concept of big data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it. But even in the 1950s, decades before anyone uttered the term "big data," businesses were using basic analytics (essentially numbers in a spreadsheet that were manually examined) to uncover insights and trends.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.

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.

Artificial Intelligence In Data Mining

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Author : D. Binu
language : en
Publisher: Academic Press
Release Date : 2021-02-17

Artificial Intelligence In Data Mining written by D. Binu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Science categories.

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area. - Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering - Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks - Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense