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2018 | OriginalPaper | Buchkapitel

Factors Affecting Crime Against Women Using Regression and K-Means Clustering Techniques

verfasst von : Bhajneet Kaur, Laxmi Ahuja, Vinay Kumar

Erschienen in: Industry Interactive Innovations in Science, Engineering and Technology

Verlag: Springer Singapore

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Abstract

The basic meaning of crime against women is direct or indirect mental or physical torture or cruelty towards women. Crime against women is increasing every year and as per the research they have doubled over the past ten years, according to latest data released by the NCRB (National Crime Records Bureau). As many as 2.24 million approx. crimes were reported against women over the past decade. On an average 25 crime per hour against women are reported, at least a complaint every two minutes. To control crime, the eyes have to be set on the factors which are influencing the crime against women. For this consideration there are various factors affecting the crime against women. In this paper factors are identified for crime against women. The impact of the individual factor has been checked for the overall crime rate in Delhi on the basis of regression analysis using SPSS tool and thereafter K-means clustering technique has been applied to classify the respondents or cases into clusters on the basis of degree of crime rate for various factors influencing the crime against women.

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Metadaten
Titel
Factors Affecting Crime Against Women Using Regression and K-Means Clustering Techniques
verfasst von
Bhajneet Kaur
Laxmi Ahuja
Vinay Kumar
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-3953-9_15

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