Last edited by Dijind
Tuesday, August 11, 2020 | History

11 edition of Data mining with computational intelligence found in the catalog.

Data mining with computational intelligence

by Lipo Wang

  • 302 Want to read
  • 10 Currently reading

Published by Springer in Berlin, New York .
Written in English

    Subjects:
  • Data mining,
  • Knowledge acquisition (Expert systems)

  • Edition Notes

    Includes bibliographical references (p. [253]-273) and index.

    StatementLipo Wang, Xiuju Fu.
    SeriesAdvanced information and knowledge processing
    ContributionsFu, Xiuju.
    Classifications
    LC ClassificationsQA76.9.D343 W37 2005
    The Physical Object
    Paginationxi, 276 p. :
    Number of Pages276
    ID Numbers
    Open LibraryOL3480645M
    ISBN 103540245227
    LC Control Number2005928948
    OCLC/WorldCa61320943

    The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like Read more. This book investigates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, in consort with current issues and applications of related : $

    The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.". It focuses on some of the hardest, and yet unsolved, issues of data mining like understandability of patterns, finding complex relationships between attributes, handling missing and noisy data, mining very large datasets, change detection in time series, and integration of the discovery process with database management systems.

    ISBN: OCLC Number: Description: xii, pages: illustrations ; 24 cm. Contents: Data Mining with Neuro-Fuzzy Models / A. Klose, A. Nurnberger and D. Nauck / [and others] --Granular Computing in Data Mining / W. Pedrycz --Fuzzification and Reduction of Information-Theoretic Rules Sets / and A. Kandel --Mining Fuzzy . 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.


Share this book
You might also like
The right of publicity

The right of publicity

graphic work of Edouard Vuillard

graphic work of Edouard Vuillard

Monitoring ecological condition at regional scales

Monitoring ecological condition at regional scales

Discover the Wonder/Modules A-F (Grade 4)

Discover the Wonder/Modules A-F (Grade 4)

Health authority financing.

Health authority financing.

CIA Field Expedient Preperation of Black Powders

CIA Field Expedient Preperation of Black Powders

Information and beyond

Information and beyond

The Tulane cook book.

The Tulane cook book.

Metalclad airships

Metalclad airships

The remains of the servant of God

The remains of the servant of God

Something About the Author Autobiography Series v. 5

Something About the Author Autobiography Series v. 5

Lady Oracle

Lady Oracle

Data mining with computational intelligence by Lipo Wang Download PDF EPUB FB2

About the Author. Lipo Wang’s research interests are in computational intelligence, i.e., neural networks, evolutionary computation, and fuzzy systems, with applications to Data mining with computational intelligence book, bioinformatics, and data mining.

He has published over 50 journal publications, 14 books (authored/edited), 70 conference presentations, and 7 book by: This book contains valuable studies in data mining from both foundational and practical perspectives.

The foundational studies of data mining may help to lay a solid foundation for data mining as a scientific discipline, while the practical studies of data mining may lead to new data mining paradigms and : Hardcover.

Lipo Wang’s research interests are in computational intelligence, i.e., neural networks, evolutionary computation, and fuzzy systems, with applications to multimedia, bioinformatics, and data mining. He has published over 50 journal publications, 14 books (authored/edited), 70 conference presentations, and 7 book chapters.

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.

Lipo Wang - Data Mining with Computational Intelligence Download, Finding information hidden in data is as theoretically difficult. Skip to content [email protected] [email protected] Monday – Sartuday AM – PM (Singapore. Lipo Wang – Data Mining with Computational Intelligence review, Wang and Fu present in detail the state of the art on how to utilize fuzzy neural networks.

From the Back Cover. This book is devoted to the Educational Data Mining arena. It highlights works that show relevant proposals, developments, and achievements that shape trends and inspire future research.

After a rigorous revision process sixteen manuscripts were accepted and organized into four parts as follows:Format: Hardcover. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.

The International Conference on “ Computational Intelligence in Data Mining ” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration.

The best selected conference papers are reviewed and compiled to form this volume. Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of.

“This book delivers on its promise to bring together the essence of educational data mining, both in terms of principle and practice. It deserves a place on the reading shelf of any researcher interested in advancing educational goals using advanced techniques and methodologies.” (Computing Reviews, July, )Manufacturer: Springer.

The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM ) held at Bhubaneswar, Odisha, India during 5 – 6 December The book Data mining: Practical machine learning tools and techniques with Java (which covers mostly machine learning material) was originally to be named just Practical machine learning, and the term data mining was only added for marketing reasons.

The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related : Hardcover.

Computational Intelligence in Data Mining - Volume 2: Proceedings of the International Conference on CIDM, December (Smart Innovation, Systems and Technologies) [Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra] on *FREE* shipping on qualifying offers. The contributed volume aims to explicate.

The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing.

Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open.

Modern data mining. This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data by: The volume presents strengths and weaknesses of trending applications and research findings in the field of computational intelligence and data mining along with related fields.

It presents current research topics in green computing, big data analysis and nature inspired computing. About this book The International Conference on “ Computational Intelligence in Data Mining ” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration.

The best selected conference papers are reviewed and compiled to form this volume. The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM ) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, Get this from a library!

Data mining with computational intelligence. [Lipo Wang; Xiuju Fu] -- "Lipo Wang and Xiuju 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.item 3 Data Mining and Computational Intelligence (English) Paperback Book Free Shippin - Data Mining and Computational Intelligence (English) Paperback Book Free Shippin.

$ Free shipping. No ratings or reviews yet. Be the first .