Optimizing Business Revenue by Visualisation of Demanding Product’s Sales data and Deriving Association Rules among the Products using Data Mining

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
  • Ritesh Saudagar  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:

Production Plan Modeling, Apriori Algorithm, Data Mining

Abstract

Because of the fierce competition in the market, everyone is busy with getting the maximum attention of people. For that producer must have products which satisfies the needs of customers. Huge scale research is going in this field. In such situations, customer requirements are very important. The value of a production plan can be modeled as a function that reflects the communication of the company with different agents, for example, customers and competitors. The issue concentrated in this system is to recognize the production plan with the maximum utility for a company, where expected number of the customers for the chosen products assesses the utility of a production plan in the plan. The solution is achieved using Apriory Algorithm in Data Mining.

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Published

2022-04-30

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Section

Research Articles

How to Cite

[1]
Prof. Pradeep N. Fale , Narendra Moundekar, Ritesh Saudagar, Prajwal Kamdi, Mrunali Rode, Janvi Borkar , " Optimizing Business Revenue by Visualisation of Demanding Product’s Sales data and Deriving Association Rules among the Products using Data Mining" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.134-142, March-April-2022.