By investigation, I mean computation : a framework to investigate the societal dimension of crime
The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spit...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fielding, Nigel - 1950- [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
30 June 2016 |
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| Schlagwörter: |
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| Anmerkung: |
Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 |
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| Umfang: |
Illustrationen |
| Übergeordnetes Werk: |
Enthalten in: Trends in organized crime - Getzville, NY : HeinOnline, 1995, 20(2017), 1-2, Seite [31]-54 |
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| Übergeordnetes Werk: |
volume:20 ; year:2017 ; number:1-2 ; pages:[31]-54 |
| Links: |
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| DOI / URN: |
10.1007/s12117-016-9284-1 |
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| Katalog-ID: |
1819103714 |
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| 245 | 1 | 0 | |a By investigation, I mean computation |b a framework to investigate the societal dimension of crime |c Nigel G. Fielding |
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| 520 | |a The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. | ||
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| 650 | 4 | |a Legal informatics | |
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30 June 2016 |
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2016 |
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10.1007/s12117-016-9284-1 doi (DE-627)1819103714 (DE-599)KXP1819103714 DE-627 ger DE-627 rda eng 2,1 ssgn Fielding, Nigel 1950- verfasserin (DE-588)124607640 (DE-627)363441026 (DE-576)164051732 aut By investigation, I mean computation a framework to investigate the societal dimension of crime Nigel G. Fielding 30 June 2016 Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. Criminal investigations Visual analytics Social network analysis Computational social science Legal informatics Enthalten in Trends in organized crime Getzville, NY : HeinOnline, 1995 20(2017), 1-2, Seite [31]-54 Online-Ressource (DE-627)32051806X (DE-600)2014206-7 (DE-576)098304852 1936-4830 nnns volume:20 year:2017 number:1-2 pages:[31]-54 https://doi.org/10.1007/s12117-016-9284-1 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2017 1-2 [31]-54 2075 01 DE-2619 4198645086 00 --%%-- --%%-- --%%-- n l01 18-10-22 |
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10.1007/s12117-016-9284-1 doi (DE-627)1819103714 (DE-599)KXP1819103714 DE-627 ger DE-627 rda eng 2,1 ssgn Fielding, Nigel 1950- verfasserin (DE-588)124607640 (DE-627)363441026 (DE-576)164051732 aut By investigation, I mean computation a framework to investigate the societal dimension of crime Nigel G. Fielding 30 June 2016 Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. Criminal investigations Visual analytics Social network analysis Computational social science Legal informatics Enthalten in Trends in organized crime Getzville, NY : HeinOnline, 1995 20(2017), 1-2, Seite [31]-54 Online-Ressource (DE-627)32051806X (DE-600)2014206-7 (DE-576)098304852 1936-4830 nnns volume:20 year:2017 number:1-2 pages:[31]-54 https://doi.org/10.1007/s12117-016-9284-1 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2017 1-2 [31]-54 2075 01 DE-2619 4198645086 00 --%%-- --%%-- --%%-- n l01 18-10-22 |
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10.1007/s12117-016-9284-1 doi (DE-627)1819103714 (DE-599)KXP1819103714 DE-627 ger DE-627 rda eng 2,1 ssgn Fielding, Nigel 1950- verfasserin (DE-588)124607640 (DE-627)363441026 (DE-576)164051732 aut By investigation, I mean computation a framework to investigate the societal dimension of crime Nigel G. Fielding 30 June 2016 Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. Criminal investigations Visual analytics Social network analysis Computational social science Legal informatics Enthalten in Trends in organized crime Getzville, NY : HeinOnline, 1995 20(2017), 1-2, Seite [31]-54 Online-Ressource (DE-627)32051806X (DE-600)2014206-7 (DE-576)098304852 1936-4830 nnns volume:20 year:2017 number:1-2 pages:[31]-54 https://doi.org/10.1007/s12117-016-9284-1 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2017 1-2 [31]-54 2075 01 DE-2619 4198645086 00 --%%-- --%%-- --%%-- n l01 18-10-22 |
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10.1007/s12117-016-9284-1 doi (DE-627)1819103714 (DE-599)KXP1819103714 DE-627 ger DE-627 rda eng 2,1 ssgn Fielding, Nigel 1950- verfasserin (DE-588)124607640 (DE-627)363441026 (DE-576)164051732 aut By investigation, I mean computation a framework to investigate the societal dimension of crime Nigel G. Fielding 30 June 2016 Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. Criminal investigations Visual analytics Social network analysis Computational social science Legal informatics Enthalten in Trends in organized crime Getzville, NY : HeinOnline, 1995 20(2017), 1-2, Seite [31]-54 Online-Ressource (DE-627)32051806X (DE-600)2014206-7 (DE-576)098304852 1936-4830 nnns volume:20 year:2017 number:1-2 pages:[31]-54 https://doi.org/10.1007/s12117-016-9284-1 Resolving-System Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2017 1-2 [31]-54 2075 01 DE-2619 4198645086 00 --%%-- --%%-- --%%-- n l01 18-10-22 |
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by investigation, i mean computationa framework to investigate the societal dimension of crime |
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By investigation, I mean computation a framework to investigate the societal dimension of crime |
| abstract |
The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 |
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The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 |
| abstract_unstemmed |
The computational analysis of the societal dimension of crime has aroused an increasing interest in recent years. Data mining, social network analysis (SNA), and visualization techniques are offering promising opportunities to the scientific and investigative study of criminal organizations. In spite of that, the spread of technological innovation faces serious difficulties due to the concurrence of different factors: the absence of user friendly crime analysis tools, the lack of technical skills of investigators (public prosecutors, police officers), two factors that, when combined with the pressure of daily routine, often result into a resistance to change. In this work we present an ongoing research project aiming to foster the potentialities of SNA and computation into criminal investigation. We define an holistic methodology that combines document-enhancement, social network analysis, and visualization techniques to support public prosecutors and criminal investigation departments in exploring the societal dimension of criminal groups. This approach has been deployed in a computational framework, CrimeMiner, validated with a case study based on data coming from real criminal investigations. Published: 30 June 2016 Literaturverzeichnis: Seite 52-54 |
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| score |
7.3994675 |