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Applying computational intelligence to community policing and forensic investigations

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Applying computational intelligence to community policing and forensic investigations. / Ali, Azliza Mohd; Angelov, Plamen.
Advanced Sciences and Technologies for Security Applications. Springer, 2017. p. 231-246 (Advanced Sciences and Technologies for Security Applications).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Ali, AM & Angelov, P 2017, Applying computational intelligence to community policing and forensic investigations. in Advanced Sciences and Technologies for Security Applications. Advanced Sciences and Technologies for Security Applications, Springer, pp. 231-246. https://doi.org/10.1007/978-3-319-53396-4_16

APA

Ali, A. M., & Angelov, P. (2017). Applying computational intelligence to community policing and forensic investigations. In Advanced Sciences and Technologies for Security Applications (pp. 231-246). (Advanced Sciences and Technologies for Security Applications). Springer. https://doi.org/10.1007/978-3-319-53396-4_16

Vancouver

Ali AM, Angelov P. Applying computational intelligence to community policing and forensic investigations. In Advanced Sciences and Technologies for Security Applications. Springer. 2017. p. 231-246. (Advanced Sciences and Technologies for Security Applications). doi: 10.1007/978-3-319-53396-4_16

Author

Ali, Azliza Mohd ; Angelov, Plamen. / Applying computational intelligence to community policing and forensic investigations. Advanced Sciences and Technologies for Security Applications. Springer, 2017. pp. 231-246 (Advanced Sciences and Technologies for Security Applications).

Bibtex

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title = "Applying computational intelligence to community policing and forensic investigations",
abstract = "Community Policing operates in an interconnected world and as such could benefit from the latest technological advances such as computational or artificial intelligence. In this chapter, we describe a new method for applying computational intelligence to Community Policing and forensic investigation based on heterogeneous data. To illustrate the proposed method, we apply it to the well-known VAST Challenge 2014. Experimental results show how the proposed method can reduce the process of investigation in finding anomalies in heterogeneous data. The integration of data with the proposed method can simplify the tedious and time consuming job of processing huge amount of data and assist the human expert in making decision and analysis.",
author = "Ali, {Azliza Mohd} and Plamen Angelov",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-53396-4_16",
language = "English",
isbn = "9783319533957",
series = "Advanced Sciences and Technologies for Security Applications",
publisher = "Springer",
pages = "231--246",
booktitle = "Advanced Sciences and Technologies for Security Applications",

}

RIS

TY - CHAP

T1 - Applying computational intelligence to community policing and forensic investigations

AU - Ali, Azliza Mohd

AU - Angelov, Plamen

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Community Policing operates in an interconnected world and as such could benefit from the latest technological advances such as computational or artificial intelligence. In this chapter, we describe a new method for applying computational intelligence to Community Policing and forensic investigation based on heterogeneous data. To illustrate the proposed method, we apply it to the well-known VAST Challenge 2014. Experimental results show how the proposed method can reduce the process of investigation in finding anomalies in heterogeneous data. The integration of data with the proposed method can simplify the tedious and time consuming job of processing huge amount of data and assist the human expert in making decision and analysis.

AB - Community Policing operates in an interconnected world and as such could benefit from the latest technological advances such as computational or artificial intelligence. In this chapter, we describe a new method for applying computational intelligence to Community Policing and forensic investigation based on heterogeneous data. To illustrate the proposed method, we apply it to the well-known VAST Challenge 2014. Experimental results show how the proposed method can reduce the process of investigation in finding anomalies in heterogeneous data. The integration of data with the proposed method can simplify the tedious and time consuming job of processing huge amount of data and assist the human expert in making decision and analysis.

U2 - 10.1007/978-3-319-53396-4_16

DO - 10.1007/978-3-319-53396-4_16

M3 - Chapter

AN - SCOPUS:85075840296

SN - 9783319533957

T3 - Advanced Sciences and Technologies for Security Applications

SP - 231

EP - 246

BT - Advanced Sciences and Technologies for Security Applications

PB - Springer

ER -