Vol. 2 No. 5 (2020): Volume 2, Issue 5, Year 2020
Articles

An Affirmative Learning Techniques to Analyse the Crime Scene in Jewel Theft Murder

Srinidhi V
Department Information Technology, Rajalakshmi Institute of Technology Chennai, Tamil Nadu, India
Saranya P
Department Information Technology, Rajalakshmi Institute of Technology Chennai, Tamil Nadu, India
Ashok M
Department Information Technology, Rajalakshmi Institute of Technology Chennai, Tamil Nadu, India
Published September 23, 2020
Keywords
  • Analyze,
  • Crime Patterns,
  • Prediction,
  • Accuracy,
  • Data Mining
How to Cite
V, S., P, S., & M, A. (2020). An Affirmative Learning Techniques to Analyse the Crime Scene in Jewel Theft Murder. International Research Journal of Multidisciplinary Technovation, 2(5), 1-7. https://doi.org/10.34256/irjmt2051

Plum Analytics

Abstract

Jewel Theft murder has become a serious issue in today’s society as crime rates are increasing rapidly. Police Officials find it difficult to identify things that can accurately and efficiently analyze the growing volume of data due to longer duration of investigation process. Our main aim is to analyze the jewel theft murder occurred over the years 2014-2019 and find crime patterns to reduce the further occurrences. The outcome of our project is to predict the jewel theft murder at a much faster rate and thus reduces the crime rate.

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