INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2023): 5.941 | Impact Factor(2024): 6.230

ABSTRACT


EMPLOYABILITY OF DATA MINING TOOLS AND TECHNIQUES IN THE COMPREHENSIVE ANALYSIS AND PREDICTION OF CRIME

Namrata Deswal

Vol. 2, Issue 1, Jan-Dec 2016

Page Number: 481 - 485

Abstract:

The aim is to give a survey of examination regarding crime analysis in the society. It executes different information examination calculations that interface wrongdoing and its example. The framework requires the earlier year's records of homicide, seizing and kidnapping, dacoity, theft, robbery, assault, and other such violations from bona fide government sources. As we probably are aware, the crime percentages are expanding persistently, and there is a need to control the wrongdoings to diminish the crime percentage. There is a requirement for such easy-to-use programming that can investigate and distinguish the example of debasement that has previously happened and foresee the wrongdoing. The framework is founded on information mining ideas and carries out AI calculations. It is valuable for the police. It assumes a critical part in wrongdoing examination. It shows the regions having more pace of violations. So that, as indicated by the crime percentage police force in that space can be allotted. It is helpful for recognizable individuals moreover. The framework will examine and identify the crime percentage and give a visualized structure

References

Back Download


Disclaimer: Indexing of published papers is subject to the evaluation and acceptance criteria of the respective indexing agencies. While we strive to maintain high academic and editorial standards, International Journal of Innovations in Applied Sciences and Engineering does not guarantee the indexing of any published paper. Acceptance and inclusion in indexing databases are determined by the quality, originality, and relevance of the paper, and are at the sole discretion of the indexing bodies.