Data Mining Foundations And Intelligent Paradigms
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Data Mining Foundations and Intelligent Paradigms
Author | : Dawn E. Holmes,Lakhmi C Jain |
Publsiher | : Springer Science & Business Media |
Total Pages | : 257 |
Release | : 2011-11-09 |
Genre | : Technology & Engineering |
ISBN | : 9783642232411 |
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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
Author | : Dawn E. Holmes,Lakhmi C Jain |
Publsiher | : Springer |
Total Pages | : 336 |
Release | : 2012-02-28 |
Genre | : Computers |
ISBN | : 3642231675 |
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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
Author | : Dawn E. Holmes,Lakhmi C Jain |
Publsiher | : Springer Science & Business Media |
Total Pages | : 367 |
Release | : 2012-01-12 |
Genre | : Technology & Engineering |
ISBN | : 9783642231513 |
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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
![Data Mining](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2011 |
Genre | : Data mining |
ISBN | : OCLC:1063829257 |
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Foundations of Computational Intelligence
Author | : Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho,Vaclav Snášel |
Publsiher | : Springer |
Total Pages | : 400 |
Release | : 2009-05-01 |
Genre | : Technology & Engineering |
ISBN | : 9783642010910 |
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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.
Data Mining Foundations and Practice
Author | : Tsau Young Lin,Ying Xie,Anita Wasilewska,Churn-Jung Liau |
Publsiher | : Springer |
Total Pages | : 562 |
Release | : 2008-08-17 |
Genre | : Technology & Engineering |
ISBN | : 9783540784883 |
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The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two topics while seeking solutions to long standing data mining problems and stimul- ing new data mining research directions. We feel that the papers presented at these workshops may encourage the study of data mining as a scienti?c ?eld and spark new communications and collaborations between researchers and practitioners. Toexpressthevisionsforgedintheworkshopstoawiderangeofdatam- ing researchers and practitioners and foster active participation in the study of foundations of data mining, we edited this volume by involving extended and updated versions of selected papers presented at those workshops as well as some other relevant contributions. The content of this book includes st- ies of foundations of data mining from theoretical, practical, algorithmical, and managerial perspectives. The following is a brief summary of the papers contained in this book.
Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges
Author | : Aboul Ella Hassanien,Ashraf Darwish |
Publsiher | : Springer Nature |
Total Pages | : 648 |
Release | : 2020-12-14 |
Genre | : Computers |
ISBN | : 9783030593384 |
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This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
Data Mining Foundations and Intelligent Paradigms
![Data Mining Foundations and Intelligent Paradigms](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : Dawn E. Holmes,Lakhmi C Jain |
Publsiher | : Springer |
Total Pages | : 336 |
Release | : 2011-11-07 |
Genre | : Computers |
ISBN | : 3642231659 |
Download Data Mining Foundations and Intelligent Paradigms Book in PDF, Epub and Kindle
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.