APPLIED FRAMEWORK FOR DATA MINING TECHNIQUES IN CRIME MODELING

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AHMADVAND A.M.; AKHOUNDZADEH E.

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Paper Information

Journal: POLICE HUMAN DEVELOPMENT Year:2010 | Volume:7 | Issue:30 Page(s): 11-22

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Information Journal Paper

Title

APPLIED FRAMEWORK FOR DATA MINING TECHNIQUES IN CRIME MODELING

Author(s)

AHMADVAND A.M. | AKHOUNDZADEH E. | Issue Writer Certificate

Keywords

DATA MININGQ2

CRIMEQ2

FORECASTINGQ2

PREVENTIONQ3

Abstract

DATA MINING as an efficient tool in analyzing data and information has been the focus of many researchers. Application of techniques and different algorithms of this tool in different domains such as customer relation management, management and fraud detection, and also domains of medical, sport and etc, approved this claim. One of the domains that can be considered as an applied domain of DATA MINING is related to police problems. Based on researches DATA MINING different algorithms particularly FORECASTING techniques have been used in different police related domains and in recent years it has witnessed a growing trend. In this article it is attempted to review different application of this tool in different domains such as CRIME detection, CRIME FORECASTING and then an applied framework is introduced.

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APA: Copy

AHMADVAND, A.M., & AKHOUNDZADEH, E.. (2010). APPLIED FRAMEWORK FOR DATA MINING TECHNIQUES IN CRIME MODELING. POLICE HUMAN DEVELOPMENT, 7(30), 11-22. SID. https://sid.ir/paper/132835/en

Vancouver: Copy

AHMADVAND A.M., AKHOUNDZADEH E.. APPLIED FRAMEWORK FOR DATA MINING TECHNIQUES IN CRIME MODELING. POLICE HUMAN DEVELOPMENT[Internet]. 2010;7(30):11-22. Available from: https://sid.ir/paper/132835/en

IEEE: Copy

A.M. AHMADVAND, and E. AKHOUNDZADEH, “APPLIED FRAMEWORK FOR DATA MINING TECHNIQUES IN CRIME MODELING,” POLICE HUMAN DEVELOPMENT, vol. 7, no. 30, pp. 11–22, 2010, [Online]. Available: https://sid.ir/paper/132835/en

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