Review on Optimization of Apriori Algorithm for Finding the Association Rules in Different Business and Other Datasets for Retrieval of Relations Between Different Entities

Authors

  • Prof. Pradeep N. Fale  Assistant Professor, Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Narendra Moundekar  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • RiteshSaudagar  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Prajwal Kamdi  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Mrunali Rode  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India
  • Janvi Borkar  Department of Information Technology, Priyadarshini College of Engineering, Nagpur, Maharashtra, India

Keywords:

Customer Centric, Apriori Algorithm, Association Rules

Abstract

The secret of doing successful business lies in the accuracy of the decisions taken for the inventory management, production plans, being customer centric and being agile for the market developments. The business data processing for any business is huge one and may contain many hidden things, which must be revealed out intelligently and with optimization with respect to the time and other source constraints. Many times, it is beyond the scope of the human mind to figure out and relate the interdependencies of the multiple factors embedded in the business data and hence the machines could help in this context to make the task easy. When it comes to find the Association rules between different products of any shop or store, the Apriori algorithm tops the choice. The current review work depicts the attempts to use the Apriori algorithm in an optimized way and implementing the same according to the prevailing conditions.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

Section

Research Articles

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How to Cite

[1]
Prof. Pradeep N. Fale, Narendra Moundekar, RiteshSaudagar, Prajwal Kamdi, Mrunali Rode, Janvi Borkar "Review on Optimization of Apriori Algorithm for Finding the Association Rules in Different Business and Other Datasets for Retrieval of Relations Between Different Entities" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.271-276, March-April-2022.