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Information Journal Paper

Title

THE INTEGRITY OF CRIME DATA SET TO IMPROVE THE PERFORMANCE OF DATA MINING TECHNIQUES TO PREDICT AND DETECT CRIME

Pages

  5-11

Abstract

 The human face of evil and criminal incidents in life is unavoidable, and mankind is always in need of understanding their environment. The use of systematic methods to identify, detect and prevent crime in society to reach a resolution mass analysis is increasing. Due to the expansion and development of information systems in organizations, In this paper we use DATA MINING techniques to analyze crime data set in databases has been. Using tools and DATA MINING algorithms to the complex nature of the crime, Crime and the subtle relationship s between data models and identify crime patterns, to detect and prevent. CLASSIFICATION algorithms optimized model to predict future characteristic s of the crimes committed and CLUSTERING algorithms to identify the type of crime the data sets were collected.

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  • Cite

    APA: Copy

    EBRAHIMI, MOJIB, MIRROSHANDEL, SEYED ABOLGHASEM, & AGHAEI, JANAHMAD. (2016). THE INTEGRITY OF CRIME DATA SET TO IMPROVE THE PERFORMANCE OF DATA MINING TECHNIQUES TO PREDICT AND DETECT CRIME. ELECTRONIC INDUSTRIES, 6(4), 5-11. SID. https://sid.ir/paper/229570/en

    Vancouver: Copy

    EBRAHIMI MOJIB, MIRROSHANDEL SEYED ABOLGHASEM, AGHAEI JANAHMAD. THE INTEGRITY OF CRIME DATA SET TO IMPROVE THE PERFORMANCE OF DATA MINING TECHNIQUES TO PREDICT AND DETECT CRIME. ELECTRONIC INDUSTRIES[Internet]. 2016;6(4):5-11. Available from: https://sid.ir/paper/229570/en

    IEEE: Copy

    MOJIB EBRAHIMI, SEYED ABOLGHASEM MIRROSHANDEL, and JANAHMAD AGHAEI, “THE INTEGRITY OF CRIME DATA SET TO IMPROVE THE PERFORMANCE OF DATA MINING TECHNIQUES TO PREDICT AND DETECT CRIME,” ELECTRONIC INDUSTRIES, vol. 6, no. 4, pp. 5–11, 2016, [Online]. Available: https://sid.ir/paper/229570/en

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