Last edited by Zulusho
Saturday, August 8, 2020 | History

1 edition of Synergies of Soft Computing and Statistics for Intelligent Data Analysis found in the catalog.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis

by Rudolf Kruse

  • 28 Want to read
  • 3 Currently reading

Published by Springer Berlin Heidelberg, Imprint: Springer in Berlin, Heidelberg .
Written in English

    Subjects:
  • Engineering,
  • Computational intelligence,
  • Artificial intelligence,
  • Artificial Intelligence (incl. Robotics)

  • Edition Notes

    Statementedited by Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz
    SeriesAdvances in Intelligent Systems and Computing -- 190
    ContributionsBerthold, Michael R., Moewes, Christian, Gil, María Ángeles, Grzegorzewski, Przemysław, Hryniewicz, Olgierd, SpringerLink (Online service)
    Classifications
    LC ClassificationsQ342
    The Physical Object
    Format[electronic resource] /
    ID Numbers
    Open LibraryOL27090494M
    ISBN 109783642330421

      Data Mining And Applications In Genomics Data Mining And Knowledge Discovery Handbook Data Mining Applications Using Artificial Adaptive Systems Data Mining For Social Network Data Data . Get this from a library! Strengthening links between data analysis and soft computing. [Przemysłav Grzegorzewski; Marek Gagolewski; Olgierd Hryniewicz; María Á Gil;] -- This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics .

    Introduction to Soft Computing for Knowledge Discovery and Data Mining Oded Maimon1 and Lior Rokach2 1 Department of Industrial Engineering, Tel-Aviv University, Ramat-Aviv , Israel, . The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.. Generally, computational intelligence .

    This book gathers contributions presented at the SMPS' held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies . Their combined citations are counted only for the first article. Synergies of Soft Computing and Statistics for Intelligent Data Analysis Analysis of variance for fuzzy data based on permutation .


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Synergies of Soft Computing and Statistics for Intelligent Data Analysis by Rudolf Kruse Download PDF EPUB FB2

It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.

Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Advances in Intelligent Systems and Computing) [Rudolf Kruse, Michael R.

Berthold, Christian Moewes, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz] on *FREE* shipping on qualifying offers.

In recent years there has been a growing interest to extend classical methods for data analysis. Statistics Synergies of Soft Computing and Statistics for Intelligent Data Analysis By (author) Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Angeles Gil, Przemysław Grzegorzewski.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis. into the fusion of soft computing methods with probability and statistics.

of Soft Computing and Statistics for. Its aim is to present recent results illustrating new trends in intelligent data gives a comprehensive overview of current research into the fusion of soft computing methods with probability and ies of both fields might improve intelligent data analysis.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis By R. Kruse, M. Berthold, C. Moewes, María Ángeles Gil Álvarez, P.

Grzegorzewski and O. Hryniewicz No static citation data No static citation data Cited by: Soft Computing for Intelligent Data Analysis X Liu, R Johnson, G Cheng, S Swift, A Tucker Birkbeck College, Department of Computer Science University of London, London WClE 7HX, United Kingdom Abstract Intelligent data analysis (IDA) is an interdisci- plinary study concerned with the effective analysis of data.

Abstract—The analysis of large amounts of data becomes an ever more important issue in science and business. Users, typcially domain experts, are faced with a huge challenge and require support. In this paper we look how data analysis can be intelligently supported and how soft computing.

Statistics; Register Login. Home | Contact Us | Terms Of Use. If you have question, contact our Customer Service. eMail: [email protected] phone North & Latin America: +. Search in this book series. Soft Computing and Intelligent Data Analysis in Oil Exploration.

Edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh. Vol Chapter 10 Modeling a fluvial reservoir with multipoint statistics.

4 soft computing: concepts and techniques Fuzzy logic is used in system control and analysis design, because it shortens the time for engineering development and sometimes, in the case of highly.

Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Proceedings of the 6th International Conference on Soft Methods in Probability and Statistics, SMPSKonstanz, Germany, OctoberAdvances in Intelligent Systems and Computing. Cite this paper as: Guan L., Li S.

() A Law of Large Numbers for Exchangeable Random Variables on Nonadditive Measures. In: Kruse R., Berthold M., Moewes C., Gil M., Grzegorzewski P., Hryniewicz O. (eds) Synergies of Soft Computing and Statistics for Intelligent Data Analysis.

Photo Credit: This article focuses on the basic differences between Soft Computing and Hard Computing. Soft Computing. Soft Computing (SC) is an.

Springer, ¨ B. Cetintav, F. Ozdemir. LP Methods for Fuzzy Regres sion and a New Approach. Ed. In Synergies of Soft Computing and Statistics for Intelligent Data Analysis, vol ISBN Springer, S. Ghorsray. Fuzzy linear regression analysis. Get this from a library. Synergies of soft computing and statistics for intelligent data analysis.

[Rudolf Kruse;] -- In recent years there has been a growing interest to extend classical methods for data analysis. SPRINGER SYNERGIES OF SOFT COMPUTING AND STATISTICS FOR INTELLIGENT DATA ANALYSIS RETAIL EBOOK-kE; Data Analytics: Models and Algorithms for Intelligent Data Analysis; "Soft Computing and Intelligent Data Analysis.

Toivonen, H, Gross, O, Toivanen, JM & Valitutti, AOn Creative Uses of Word Associations. in R Kruse, MR Berthold, C Moewes, MÁ Gil, P Grzegorzewski & O Hryniewicz (eds), Synergies of Soft Computing and Statistics for Intelligent Data Analysis. vol.Advances in Intelligent Systems and Computing.

Quaeghebeur, Erik. “The CONEstrip Algorithm.” In Synergies of Soft Computing and Statistics for Intelligent Data Analysis/Advances in Intelligent Systems and Computing, ed. Rudolf Kruse. (Advances in Intelligent Systems and Computing ) ISBN 7 approx. $ Kruse (Eds), Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Advances in Intelligent Systems and Computing ) ISBN 7 approx.

$ Morzy (Eds), Advances in Databases and Information Computing. strategic issues in the context of large data-analysis tasks. •Integration: In addition to careful thinking at every stage of an analysis process and intelligent application of relevant domain expertise regarding both data and subject matters, Intelligent Data Analysis requires critical assessment and selection of relevant analysis .Synergies of Soft Computing and Statistics for Intelligent Data Analysis Rudolf Kruse, Michael R Berthold, Christian Moewes, Maria Angeles Gil, Przemyslaw Grzegorzewski.Similar Items.

Synergies of soft computing and statistics for intelligent data analysis Published: () ; Introduction to data mining and soft computing techniques / by: Murthy, M. Ramakrishna, Published: () Recent advances on soft computing and data mining: proceedings of the first International Conference on Soft Computing and Data .