Crime detection and criminal identification in India using data mining techniques

Tayal, Devendra K.; Jain, Arti; Arora, Surbhi; Agarwal, Surbhi; Gupta, Tushar; Tyagi, Nidhi

doi:10.1007/s00146-014-0539-6

Cited by 92 publications

(24 citation statements)

References 11 publications

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“…The social network Facebook and the micro blog Twitter also help criminals to coordinate and manage online suspect actions. As per a recent record, there is found a crime percentage 16 of seven big Indian cities as shown in figure 1.…”

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confidence: 65%

Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

Asha

Balkishan

2017

Orient. J. Chem

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Escalating crimes on digital facet alarms the law enforcement bodies to keep a gaze on online activities which involve massive amount of data. This will raise a need to detect suspicious activities on online available social media data by optimizing investigations using data mining tools. This paper intends to throw some light on the data mining techniques which are designed and developed for closely examining social media data for suspicious activities and profiles in different domains. Additionally, this study will categorize the techniques under various groups highlighting their important features, challenges and application realm.

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confidence: 65%

Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

Asha

Balkishan

2017

Orient. J. Chem

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“…Tayala proposed an approach for crime detection and criminal identification in India using data mining techniques [1]. Their approach is divided into six modules including: data extraction, data pre-processing, clustering, Google map representation, classification, and WEKA implementation.…”

Section: Literature Reviewmentioning

confidence: 99%

KNN Classifier and Naive Bayse Classifier for Crime Prediction in San Francisco Context

Abdulrahman¹,

Abedalkhader²

2017

IJDMS

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“…Arulanandam et al (2014) discusses two approaches NER and conditional random field and their performance in identification of crime location sentences. Tayal et al (2015) presents simple statistics about cybercrimes in Taiwan and highlights the need to take measures to control cybercrime at various levels of society like schools, colleges social agencies and governments. This paper implicitly has emphasized on the impact of cyber or computer related crime.…”

Section: Literature Surveymentioning

confidence: 99%

Text analysis framework for understanding cyber-crimes

Cardoza¹,

Wagh

2017

Int. j. adv. appl. sci.

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Crime detection and criminal identification in India using data mining techniques

Cited by 92 publications

References 11 publications

Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

KNN Classifier and Naive Bayse Classifier for Crime Prediction in San Francisco Context

Text analysis framework for understanding cyber-crimes

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