FSRM: A Fast Algorithm for Sequential Rule Mining

Authors

  • Paliwal A M.E. Student, Medicaps Institute of Technology & Management Indore (M.P.)
  • Dave S Asst. Professor , Medicaps Institute of Technology & Management Indore (M.P.)

Keywords:

computing and automation technologies, scalable mining algorithms

Abstract

Recent developments in computing and automation technologies have resulted in computerizing business and scientific applications in various areas. Turing the massive amounts of accumulated information into knowledge is attracting researchers in numerous domains as well as databases, machine learning, statistics, and so on. From the views of information researchers, the stress is on discovering meaningful patterns hidden in the massive data sets. Hence, a central issue for knowledge discovery in databases, additionally the main focus of this paper, is to develop economical and scalable mining algorithms as integrated tools for management systems.

References

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Published

2024-02-26

How to Cite

Paliwal, A., & Dave, S. (2024). FSRM: A Fast Algorithm for Sequential Rule Mining. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(10), 1140–1142. Retrieved from https://ijact.in/index.php/j/article/view/201

Issue

Section

Original Research Article

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