Data Analysis and Visualisation of Sales Data Using Artificial Intelligence

Authors

  • Swati Raut  Department of Computer Science, JD College of Engineering And Management, Nagpur, Maharashtra, India
  • Tanmay Sakharkar   Department of Computer Science, JD College of Engineering And Management, Nagpur, Maharashtra, India
  • Ritik Zilpe  Department of Computer Science, JD College of Engineering And Management, Nagpur, Maharashtra, India
  • Akshay Shete  Department of Computer Science, JD College of Engineering And Management, Nagpur, Maharashtra, India
  • Nandini Agrawal   Department of Computer Science, JD College of Engineering And Management, Nagpur, Maharashtra, India
  • Akshay Kumar Talanje  Department of Computer Science, JD College of Engineering And Management, Nagpur, Maharashtra, India

Keywords:

Business intelligence, Data mining, Case, and Course.

Abstract

This paper in brief describes the system of improvement of numerous case tasks via presenting a graduate degree path on Data Mining. It then outlines a specific case mission that describes the system of records extracting, records cleansing, records transfer, records warehouse layout and improvement. It additionally outlines the improvement of a records dice in addition to application to recognize enterprise intelligence. The outcomes may be useful to an trainer who desires to expand a realistic path or a practitioner venturing into the records warehousing and records mining region.

References

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-06-30

Issue

Volume 9, Issue 3, May-June-2022

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Swati Raut, Tanmay Sakharkar , Ritik Zilpe, Akshay Shete, Nandini Agrawal , Akshay Kumar Talanje "Data Analysis and Visualisation of Sales Data Using Artificial Intelligence" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 3, pp.412-417, May-June-2022.