A Study on Various Approaches of Data Mining classification Techniques

Authors

  • Deep Kumar  Software Engineer, Igniva Solutions Private Limited, Mohali, Punjab, India

Keywords:

Data Mining, Fuzzy KNN, SVM, CRM, Classification.

Abstract

Data mining is the process of extraction of information from various datasets on the basis of different attributes. Mining has to be done to extract hidden relationship between various database entities. On the basis of these entities, different types of decisions are taken for the extraction of different relationships. In the customer relationship management, different relational attributes are available in the dataset. This dataset contains the information about the relations of the customer with an enterprise. The dataset has to be classified using rules for extraction of information. Mainly Churn, appetency, up selling and score are the major entities which will be considered in the proposed work. To overcome the problems of CRM database a new hybrid algorithm is introduced which will be the combination of GA and Fuzzy KNN classification.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Deep Kumar, " A Study on Various Approaches of Data Mining classification Techniques, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.1082-1086, September-October-2017.