International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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TECHNIQUES FOR DEVELOPMENT OF PREDICTIVE IDSS

    1 Author(s):  SHETTY SNEHA

Vol -  12, Issue- 6 ,         Page(s) : 153 - 157  (2021 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Till date, several models for predicting future trends in business have been constructed and studied with their own pros and cons. A variety of traditional techniques like regression, decision trees, naive bayes, support vector machine, nearest neighborhood4 etc.have been used for development of DSS and for the predictive data mining purpose. But nowadays, intelligent techniques and algorithms like neural networks, genetic algorithms, fuzzy techniques, evolutionary algorithms, hybrid techniques etc. are upcoming techniques and are in the development stage.

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