Decision Support through Hierarchical Multi-Attribute Predictive models

Pankaj Pathak, Dr. P. R. Pal

Abstract


In present scenarios every industry is facing a critical competition. As the number of choices are available to the customers of every type of product. Most of the industries are runs their operations in several countries. So each industry wants to increase their valuable customers by knowing the buying behavior and the preferences of the customers which are based upon number of factors. To derive this knowledge about the customers with the help of existing data sets and information is possible by Data Mining Techniques. We can make important strategic decisions on the basis of results of these data mining techniques. One of the important data mining techniques is decision tree a hierarchical structure which contains nodes and directed edges. The Predictive models can build with the help of Decision Trees.


Keywords: Decision, Data Mining, Decision Tree, Classification, Uncertainty


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DOI: https://doi.org/10.26483/ijarcs.v3i5.1370

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