A Survey on Intelligent Data Analysis: Issues and Challenges

Authors

  • Mousami V. Munot Associate Professor, Department of Electronics & Telecommunication Engg., SCTR’s Pune Institute of Computer Technology (PICT), Pune
  • Kaustubh V. Sakhare Technical Specialist, Lear Corporation, Pune

Keywords:

Data analysis, data mining, risk assessment of level crossing, rule extraction, neural networks, rule induction

Abstract

(IDA) that is Intelligent data analysis is a new topic that combines several disciplines, particularly AI as well as statistics, to analyse data sets automatically or semi automatically in a variety of real-world applications. All three of these areas are mutually beneficial: Several statistical procedures depend on computers, especially for big data sets, yet computational power alone cannot replace statistical expertise. There has been a rise in an intelligent data analysis system. It is goal of such a work to address a broad variety of issues that might arise when analysing data, as well as to provide solutions. A real world instance of such a risk assessment of the level crossing data is used to analyse a few of such issues and ideas.

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Published

2022-01-06

How to Cite

[1]
Mousami V. Munot and Kaustubh V. Sakhare 2022. A Survey on Intelligent Data Analysis: Issues and Challenges. AG Volumes. (Jan. 2022), 01–08.