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Application of Data Mining for Analysis and Prediction of Crime

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Information and Communication Technology for Intelligent Systems ( ICTIS 2020)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 195))

Abstract

Crime is a significant component of every society. Its costs and consequences touch just about everyone to a remarkable extent. About 10% of the culprits commit about 50% of the crimes (Nath in Crime Pattern Detection Using Data Mining. IEEE, 2006, [4]). Explorations that aid in resolving violations quicker will compensate for itself. But, due to the massive increase in the number of crimes, it becomes challenging to analyze crime manually and predict future crimes based on location, pattern, and time. Also today, criminals are becoming technologically advanced, so there is a need to use advanced technologies to keep police ahead of them. Information mining can be employed to demonstrate wrongdoing apprehension issues. Considerable research work turned out to be published earlier upon this topic. In the proposed work, we thoroughly review some of them. The main focus is on the techniques and algorithms used in those papers for examination and expectation of violation.

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Authors and Affiliations

  1. Computer Science and Engineering, Prof Ram Meghe College of Engineering and Management, Amravati, Maharashtra, India

    Vaibhavi Shinde, Yash Bhatt, Sanika Wawage, Vishal Kongre & Rashmi Sonar

Authors
  1. Vaibhavi Shinde
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  2. Yash Bhatt
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  3. Sanika Wawage
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  4. Vishal Kongre
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  5. Rashmi Sonar
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Corresponding author

Correspondence to Yash Bhatt .

Editor information

Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, University of the Ryukyus, Nishihara, Japan

    Tomonobu Senjyu

  2. Sinhgad Technical Education Society, SKNCOE, Pune, India

    Parikshit N. Mahalle

  3. Universiti Putra Malaysia, Serdang, Malaysia

    Thinagaran Perumal

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shinde, V., Bhatt, Y., Wawage, S., Kongre, V., Sonar, R. (2021). Application of Data Mining for Analysis and Prediction of Crime. In: Senjyu, T., Mahalle, P.N., Perumal, T., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems. ICTIS 2020. Smart Innovation, Systems and Technologies, vol 195. Springer, Singapore. https://doi.org/10.1007/978-981-15-7078-0_8

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