Computational Intelligence in Data Mining - Volume 1

Lakhmi JAIN, Himansu Behera, Jyotsna Mandal, Durga Mohapatra

    Research output: A Conference proceeding or a Chapter in BookForeword/postscript

    Abstract

    The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. 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
    Original languageEnglish
    Title of host publicationComputational Intelligence in Data Mining - Volume 1
    Subtitle of host publicationProceedings of the International Conference on CIDM, 20-21 December 2014
    EditorsLakhmi C. Jain, Himansu Sekhar Behera, Jyotsuna Kumar Mandal, Durga Prasad Mohapatra
    Place of PublicationIndia
    PublisherSpringer
    Pages1-713
    Number of pages713
    Volume31
    Edition1
    ISBN (Electronic)9788132222057
    ISBN (Print)9788132222040
    DOIs
    Publication statusPublished - 2015
    Event5th IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014) - Orlando, Orlando, United States
    Duration: 9 Dec 201412 Dec 2014
    http://lamda.nju.edu.cn/conf/cidm2014/?AspxAutoDetectCookieSupport=1

    Publication series

    NameSmart Innovation, Systems and Technologies
    PublisherSpringer
    Volume31
    ISSN (Print)2190-3018

    Conference

    Conference5th IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014)
    Abbreviated title(CIDM 2014)
    CountryUnited States
    CityOrlando
    Period9/12/1412/12/14
    Internet address

    Fingerprint

    Artificial intelligence
    Data mining
    Computer science
    Decision making

    Cite this

    JAIN, L., Behera, H., Mandal, J., & Mohapatra, D. (2015). Computational Intelligence in Data Mining - Volume 1. In L. C. Jain, H. S. Behera, J. K. Mandal, & D. P. Mohapatra (Eds.), Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014 (1 ed., Vol. 31, pp. 1-713). (Smart Innovation, Systems and Technologies; Vol. 31). India: Springer. Smart Innovation, Systems and Technologies https://doi.org/10.1007/978-81-322-2205-7
    JAIN, Lakhmi ; Behera, Himansu ; Mandal, Jyotsna ; Mohapatra, Durga. / Computational Intelligence in Data Mining - Volume 1. Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014. editor / Lakhmi C. Jain ; Himansu Sekhar Behera ; Jyotsuna Kumar Mandal ; Durga Prasad Mohapatra. Vol. 31 1. ed. India : Springer, 2015. pp. 1-713 (Smart Innovation, Systems and Technologies). (Smart Innovation, Systems and Technologies).
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    JAIN, L, Behera, H, Mandal, J & Mohapatra, D 2015, Computational Intelligence in Data Mining - Volume 1. in LC Jain, HS Behera, JK Mandal & DP Mohapatra (eds), Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014. 1 edn, vol. 31, Smart Innovation, Systems and Technologies, vol. 31, Springer, India, Smart Innovation, Systems and Technologies, pp. 1-713, 5th IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014), Orlando, United States, 9/12/14. https://doi.org/10.1007/978-81-322-2205-7

    Computational Intelligence in Data Mining - Volume 1. / JAIN, Lakhmi; Behera, Himansu; Mandal, Jyotsna; Mohapatra, Durga.

    Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014. ed. / Lakhmi C. Jain; Himansu Sekhar Behera; Jyotsuna Kumar Mandal; Durga Prasad Mohapatra. Vol. 31 1. ed. India : Springer, 2015. p. 1-713 (Smart Innovation, Systems and Technologies; Vol. 31), (Smart Innovation, Systems and Technologies).

    Research output: A Conference proceeding or a Chapter in BookForeword/postscript

    TY - CHAP

    T1 - Computational Intelligence in Data Mining - Volume 1

    AU - JAIN, Lakhmi

    AU - Behera, Himansu

    AU - Mandal, Jyotsna

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    N2 - The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. 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

    AB - The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. 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

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    BT - Computational Intelligence in Data Mining - Volume 1

    A2 - Jain, Lakhmi C.

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    A2 - Mandal, Jyotsuna Kumar

    A2 - Mohapatra, Durga Prasad

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    JAIN L, Behera H, Mandal J, Mohapatra D. Computational Intelligence in Data Mining - Volume 1. In Jain LC, Behera HS, Mandal JK, Mohapatra DP, editors, Computational Intelligence in Data Mining - Volume 1: Proceedings of the International Conference on CIDM, 20-21 December 2014. 1 ed. Vol. 31. India: Springer. 2015. p. 1-713. (Smart Innovation, Systems and Technologies). (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-81-322-2205-7