Published January 10, 2020 | Version v1
Journal article Open

Expense Monitoring System using Data Analytics and Machine Learning Techniques

  • 1. Assistant Professor, Department of Computer Science & Engineering, Velammal Engineering College, Chennai, India.
  • 2. Research Scholar, Department of Computer Science & Engineering, Anna University, Chennai, India.

Description

This application checks the legitimacy of the employee expense through three stage verification process and provides the detailed dynamic analysis of expenses as well as helps employee in knowing the result of his expense priorly through Machine Learning algorithm KNN with reasonable accuracy. This application helps the user in choosing the right options through suggestions provided by the application in order to increase the chances of approval and the user can also get to know the status of the expense dynamically from the time when the user submitted the expense. The user, auditor and admin can start discussion through the forum/community provided by the application.

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Expense Monitoring System Using Data Analytics -HBRP Publication.pdf

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Additional details

References

  • "The inventory management for retailer with mental accounting under stock-dependent demand", 2015.
  • Qi, "Research on applying data mining in retail CRM, Zhejiang University Master thesis", 2004.
  • H.X Wang, "G.C Chen, Data Mining Techniques Applied in Retailing's CRM, Computer & Digital Engineering", 2006.
  • J. Gong, Y. Liu, H. Zhang, "Research on applying CRM knowledge manage system to improve market's competitive ability in packaging enterprises, Packaging Engineering", 2005.
  • Payment and Invoice Integration system "2018"US Patent
  • Automated System for item dispensing, Billing, Inventory Management, Brian C. DeBusk, Knoxville, TN (US) AngelaM. Sewell, Knoxville, TN (US) Gregory S. Hodge, Knoxville , TN(US); Samuel J. E. Fox Oliver Springs, Urbana.

Subjects

Computer Science Engineering
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