Biblio
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Filters: Автор is Martti Juhola [Clear All Filters]
"GDP Growth vs. Criminal Phenomena: Data Mining of Japan 1926-2013." AI & SOCIETY 33, no. 2 (2018): 261-274.
"GDP growth vs. criminal phenomena: data mining of Japan 1926–2013." AI & SOCIETY 33, no. 2 (2018): 261-274.
"Country crime analysis using the self-organising map, with special regard to economic factors ." International Journal of Data Mining, Modelling and Management 7, no. 2 (2015).
Crime vs. demographic factors revisited: Application of data mining methods In Webology., 2015.
"Crime vs. Demographic Factors Revisited: Application of Data Mining Methods." Webology 12, no. 1 (2015).
"Homicide and Its Social Context: Analysis Using the Self-Organizing Map." Applied Artificial Intelligence An International Journal 29, no. 4 (2015).
"Application of the self-organising map to visualisation of and exploration into historical development of criminal phenomena in the USA, 1960–2007 ." International Journal of Society Systems Science 6, no. 2 (2014).
"Country crime analysis using the self-organizing map, with special regard to demographic factors." AI & SOCIETY 29, no. 1 (2014): 53-68.
"Crime and Its Social Context: Analysis Using the Self-Organizing Map." In European Intelligence and Security Informatics Conference. Uppsala, Sweden , 2013.