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"GDP growth vs. criminal phenomena: data mining of Japan 1926?2013." \i AI & SOCIETY\i0  33, no. 2 (2018): 261-274.\par \par "Country crime analysis using the self-organising map, with special regard to economic factors ." \i International Journal of Data Mining, Modelling and Management \i0  7, no. 2 (2015).\par \par "Crime vs. Demographic Factors Revisited: Application of Data Mining Methods." \i Webology\i0  12, no. 1 (2015).\par \par \i Crime vs. demographic factors revisited:  Application of data mining methods\i0  In \i Webology\i0 ., 2015.\par \par "Homicide and Its Social Context: Analysis Using the Self-Organizing Map." \i Applied Artificial Intelligence An International Journal\i0  29, no. 4 (2015).\par \par "Application of the self-organising map to visualisation of and exploration into historical development of criminal phenomena in the USA, 1960?2007 ." \i International Journal of Society Systems Science\i0  6, no. 2 (2014).\par \par "Country crime analysis using the self-organizing map, with special regard to demographic factors." \i AI & SOCIETY\i0  29, no. 1 (2014): 53-68.\par \par "\i Crime and Its Social Context: Analysis Using the Self-Organizing Map\i0 ." In \i European Intelligence and Security Informatics Conference\i0 . Uppsala, Sweden , 2013.\par \par "Cybersecurity as a Relative Concept." \i Information & Security: An International Journal\i0  18 (2006): 11-24.\par \par }