A Data Mining Approach for Prediction Modeling Using Association rule

Author:

Karim Sarkhel H.Taher,Raza Rzgar Sirwan

Abstract

   In the present work, a data mining approach is highlighted, a prediction optimization data mining approach association rule is chosen for performing prediction modeling in a supermarket application, a data mining prediction analysis model is formulated based on association rule is presented in this work.  The result of the model formulated is then compared with the result produced on the similar set of input on the traditional optimization problems. While comparing the results it was observed that the result produced by the presented model is much closer to the reality.

Publisher

Politeknik Negeri Padang

Subject

Information Systems and Management,Statistics, Probability and Uncertainty,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysing Transaction Data in Supermarkets-Role of Data Mining;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

2. An optimized approach towards increasing the sale rate in a Grocery Mart by using Association Rule Mining Approaches;2024 International Conference on Emerging Systems and Intelligent Computing (ESIC);2024-02-09

3. Recency-Frequency-Monetary Analysis and Recommendation System using Apriori Algorithm on E-Commerce Sales Data;2023 13th International Conference on Advanced Computer Information Technologies (ACIT);2023-09-21

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