Using Formal Concepts Analysis Techniques in Mining Data from Criminal Databases and Profiling Events Based on Factors to Understand Criminal Environments-Reference-Cited by-同舟云学术

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Using Formal Concepts Analysis Techniques in Mining Data from Criminal Databases and Profiling Events Based on Factors to Understand Criminal Environments

Published:2016 Issue: Volume: Page:480-496
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2016
language:
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Author:

Kester Quist-Aphetsi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-42092-9_37

Reference27 articles.

1. Studies in Big Data;J Stefanowski,2005

2. Gillingham, P., Graham, T.: Big data in social welfare: the development of a critical perspective on social work’s latest “electronic turn”. Austr. Soc. Work 1–13 (2016)

3. Ratcliffe, J.H.: Intelligence-Led Policing. Willan Publishing, Cullompton, Devon (2008)

4. Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer Science & Business Media, New York (2012)

5. Ganter, B., Stumme, G., Wille, R.: Formal Concept Analysis: Foundations and Applications, vol. 3626. Springer, Heidelberg (2005)

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2. Research on Anomaly Detection in Massive Multimedia Data Transmission Network Based on Improved PSO Algorithm;IEEE Access;2020

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