Soft Computing For Knowledge Discovery And Data Mining PDF Download

Soft Computing for Knowledge Discovery and Data Mining PDF
Author: Oded Maimon
Publisher: Springer Science & Business Media
ISBN: 038769935X
Size: 30.96 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 433
View: 3180

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Soft Computing For Knowledge Discovery And Data Mining Book Description:

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.

Data Mining And Knowledge Discovery Handbook PDF Download

Data Mining and Knowledge Discovery Handbook PDF
Author: Oded Maimon
Publisher: Springer Science & Business Media
ISBN: 0387098232
Size: 79.20 MB
Format: PDF
Category : Computers
Languages : en
Pages : 1285
View: 5457

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Data Mining And Knowledge Discovery Handbook Book Description:

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 of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Soft Computing For Data Mining Applications PDF Download

Soft Computing for Data Mining Applications PDF
Author: K. R. Venugopal
Publisher: Springer
ISBN: 3642001939
Size: 27.64 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 341
View: 5888

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Soft Computing For Data Mining Applications Book Description:

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.

Foundations Of Data Mining And Knowledge Discovery PDF Download

Foundations of Data Mining and Knowledge Discovery PDF
Author: Tsau Young Lin
Publisher: Springer Science & Business Media
ISBN: 9783540262572
Size: 47.35 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 378
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Foundations Of Data Mining And Knowledge Discovery Book Description:

"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.

Data Mining And Knowledge Discovery With Evolutionary Algorithms PDF Download

Data Mining and Knowledge Discovery with Evolutionary Algorithms PDF
Author: Alex A. Freitas
Publisher: Springer Science & Business Media
ISBN: 9783540433316
Size: 11.66 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 264
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Data Mining And Knowledge Discovery With Evolutionary Algorithms Book Description:

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 currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics

Data Mining Concepts Methodologies Tools And Applications PDF Download

Data Mining  Concepts  Methodologies  Tools  and Applications PDF
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1466624566
Size: 66.60 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 2120
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Data Mining Concepts Methodologies Tools And Applications Book Description:

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

Knowledge Discovery And Data Mining Current Issues And New Applications PDF Download

Knowledge Discovery and Data Mining  Current Issues and New Applications PDF
Author: Pacific-Asia Conference on Knowledge Discovery and Data Mining 2000 k
Publisher: Springer Science & Business Media
ISBN: 9783540673828
Size: 45.82 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 460
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Knowledge Discovery And Data Mining Current Issues And New Applications Book Description:

This book constitutes the refereed proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2000, held in Kyoto, Japan, in April 2000. The 33 revised full papers and 16 short papers presented were carefully reviewed and selected from a total of 116 submissions. The papers are organized in sections on data mining theory; feature selection and transformation; clustering; applications of data mining; association rules and related topics; induction; text, web, and graph mining.

Classification And Clustering For Knowledge Discovery PDF Download

Classification and Clustering for Knowledge Discovery PDF
Author: Saman K. Halgamuge
Publisher: Springer Science & Business Media
ISBN: 9783540260738
Size: 55.90 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 356
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Classification And Clustering For Knowledge Discovery Book Description:

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.

Pattern Recognition Algorithms For Data Mining PDF Download

Pattern Recognition Algorithms for Data Mining PDF
Author: Sankar K. Pal
Publisher: Chapman & Hall
ISBN: 9781584884576
Size: 11.48 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 244
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Pattern Recognition Algorithms For Data Mining Book Description:

Pattern Recognition Algorithms for Data Mining covers the topic of data mining from a pattern recognition perspective. This unique book presents real life data sets from various domains, such as geographic information systems, remote sensing imagery, and population census, to demonstrate the use of innovative new methodologies. Classical approaches are covered along with granular computation by integrating fuzzy sets, artificial neural networks, and genetic algorithms for efficient knowledge discovery. The authors then compare the granular computing and rough fuzzy approaches with the more classical methods and clearly demonstrate why they are more efficient.

Data Mining PDF Download

Data Mining PDF
Author: Sushmita Mitra
Publisher: John Wiley & Sons
ISBN: 9780471474883
Size: 79.90 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 424
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Data Mining Book Description:

First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining