Data Mining Foundations And Intelligent Paradigms
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Data Mining Foundations And Intelligent Paradigms
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Author : Dawn E. Holmes
language : en
Publisher:
Release Date :
Data Mining Foundations And Intelligent Paradigms written by Dawn E. Holmes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Data Mining Foundations And Intelligent Paradigms
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Author : Dawn E. Holmes
language : en
Publisher: Springer
Release Date : 2012-02-28
Data Mining Foundations And Intelligent Paradigms written by Dawn E. Holmes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-28 with Computers categories.
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Data Mining Foundations And Intelligent Paradigms
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Author : Dawn E. Holmes
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-09
Data Mining Foundations And Intelligent Paradigms written by Dawn E. Holmes 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 2011-11-09 with Computers categories.
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Data Mining Foundations And Intelligent Paradigms
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Author : Dawn E. Holmes
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-12
Data Mining Foundations And Intelligent Paradigms written by Dawn E. Holmes 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 2012-01-12 with Technology & Engineering categories.
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Data Mining
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Author :
language : en
Publisher:
Release Date : 2011
Data Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Data mining categories.
Foundations Of Computational Intelligence
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2010-10-28
Foundations Of Computational Intelligence written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-28 with Mathematics categories.
Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications 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, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.
Intelligent Paradigms For Assistive And Preventive Healthcare
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Author : Ajita Ichalkaranje
language : en
Publisher:
Release Date : 2006-04-20
Intelligent Paradigms For Assistive And Preventive Healthcare written by Ajita Ichalkaranje and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-20 with Computers categories.
Intelligent paradigms play a tremendous role in the field of Assistive and Preventive Healthcare (APH). This book presents some of the latest research in the field of APH by most prestigious researchers. Coverage includes Multimedia medical informatics; Virtual reality; Digital talking books; Electronic Locomotion Aids, and Multimedia Communication Systems for the Blind; Information Technology for the Deaf.
Data Mining Foundations And Intelligent Paradigms
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Author : Dawn E. Holmes
language : en
Publisher: Springer
Release Date : 2011-11-07
Data Mining Foundations And Intelligent Paradigms written by Dawn E. Holmes and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-07 with Computers categories.
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Advances In Web Intelligence And Data Mining
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Author : Mark Last
language : en
Publisher:
Release Date : 2006-05-23
Advances In Web Intelligence And Data Mining written by Mark Last and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-23 with Computers categories.
Today, in the middle of the ?rst decade of the 21st century, the Internet has become a major communication medium, where virtually any kind of content can be transferred instantly and reliably between individual users and entire - ganizations located in any part of the globe. The World Wide Web (WWW) has a tremendous e?ect on our daily activities at work and at home. Consequently, more e?ective and e?cient methods and technologies are needed to make the most of the Web’s nearly unlimited potential. The new Web-related research directions include intelligent methods usually associated with the ?elds of c- putational intelligence, soft computing, and data mining. AWIC, the “Atlantic Web Intelligence Conferences” continue to be a forum for exchange of new ideas and novel practical solutions in this new and exciting area. The conference was born as an initiative of the WIC-Poland and the WIC- Spain Research Centers, both belonging to the Web Intelligence Consortium – WIC (http://wi-consortium.org/). Prior to this year, three AWIC conferences have been held: in Madrid, Spain (2003), in Cancun, Mexico (2004), and in L ́ od ́ z, Poland (2005). AWIC 2006 took place in Beer-Sheva, Israel during June 5–7, 2006, organized locally by Ben-Gurion University of the Negev. The book presents state-of-the-art developments in the ?eld of computati- ally intelligent methods applied to various aspects and ways of Web exploration.
Gene Expression Programming
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Author : Candida Ferreira
language : en
Publisher: Studies in Computational Intelligence
Release Date : 2006-05-24
Gene Expression Programming written by Candida Ferreira and has been published by Studies in Computational Intelligence this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-24 with Computers categories.
Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes. Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes.