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Volumn 25, Issue 5, 2011, Pages 362-379

Exploration of massive crime data sets through data mining techniques

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

EID: 79957504726     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839514.2011.570153     Document Type: Article
Times cited : (16)

References (36)
  • 6
    • 0031413968 scopus 로고    scopus 로고
    • Qualitative spatial representation and reasoning with the region connection calculus
    • Cohn, A. G., B. Bennett, J. Gooday, and N. M. Gotts.(1997). Qualitative spatial representation and reasoning with the region connection calculus. GeoInformatica 1 (3): 275-316.
    • (1997) GeoInformatica , vol.1 , Issue.3 , pp. 275-316
    • Cohn, A.G.1    Bennett, B.2    Gooday, J.3    Gotts, N.M.4
  • 7
    • 0034797579 scopus 로고    scopus 로고
    • Modelling high-intensity crime areas in english cities
    • DOI 10.1080/00420980120080853
    • Craglia, M., R. Haining, and P. Signoretta. 2001. Modelling high-intensity crime areas in English cities. Urban Studies 38 (11): 1921-1941. (Pubitemid 32961960)
    • (2001) Urban Studies , vol.38 , Issue.11 , pp. 1921-1941
    • Craglia, M.1    Haining, R.2    Signoretta, P.3
  • 8
    • 0034019401 scopus 로고    scopus 로고
    • A comparative evaluation of approaches to urban crime pattern analysis
    • DOI 10.1080/00420980050003982
    • Craglia, M., R. Haining, and P. Wiles. 2000. A comparative evaluation of approaches to urban crime pattern analysis. Urban Studies 37 (11): 711-729. (Pubitemid 30258176)
    • (2000) Urban Studies , vol.37 , Issue.4 , pp. 711-729
    • Craglia, M.1    Haining, R.2    Wiles, P.3
  • 9
    • 0036643522 scopus 로고    scopus 로고
    • Argument free clustering for large spatial point-data sets via boundary extraction from Delaunay Diagram
    • DOI 10.1016/S0198-9715(01)00044-8, PII S0198971501000448, Geocomputation 2000
    • Estivill-Castro, V., and I. Lee. 2002. Argument free clustering via boundary extraction for massive point-data sets. Computers, Environments and Urban Systems 26 (4): 315-334. (Pubitemid 34593132)
    • (2002) Computers, Environment and Urban Systems , vol.26 , Issue.4 , pp. 315-334
    • Estivill-Castro, V.1    Lee, I.2
  • 10
    • 79957944034 scopus 로고    scopus 로고
    • Discovering associations in spatial data - An efficient medoid based approach
    • Lecture Notes in Artificial Intelligence 1394, eds. Wu, K. Ramamohanarao and K. B. Korb. Melbourne, Australia: Springer
    • Estivill-Castro, V., and A. T. Murray. 1998. Discovering associations in spatial data - An efficient medoid based approach. In Proceedings of the 2nd Pacific-Asia conference on knowledge discovery and data mining, Lecture Notes in Artificial Intelligence 1394, eds. Wu, K. Ramamohanarao and K. B. Korb, 110-121. Melbourne, Australia: Springer.
    • (1998) Proceedings of the 2nd Pacific-Asia Conference on Knowledge Discovery and Data Mining , pp. 110-121
    • Estivill-Castro, V.1    Murray, A.T.2
  • 11
    • 85181552696 scopus 로고    scopus 로고
    • Crime analysis using GIS at the City of Orlando, Florida: Implications for housing policies
    • Washington, D.C.: Urban and Regional Information System Association
    • Gandhi, S., and J. W. Brubbs. 1996. Crime analysis using GIS at the City of Orlando, Florida: Implications for housing policies. In Proceedings of the urban and regional information systems association annual conference, 122-132. Washington, D.C.: Urban and Regional Information System Association.
    • (1996) Proceedings of the Urban and Regional Information Systems Association Annual Conference , pp. 122-132
    • Gandhi, S.1    Brubbs, J.W.2
  • 13
    • 70449100804 scopus 로고    scopus 로고
    • Application of genetic algorithm and k-nearest neighbour method in medical fraud detection
    • Lecture Notes in Computer Science 1585, B. McKay X. Yao, C. S. Newton, J. H. Kim, and T. Furuhashi. Canberra, Australia: Springer
    • He, H., W. Graco, and X. Yao. 1998. Application of genetic algorithm and k-nearest neighbour method in medical fraud detection. In Proceedings of the 2nd Asia-Pacific conference on simulated evolution and learning, Lecture Notes in Computer Science 1585, B. McKay, X. Yao, C. S. Newton, J. H. Kim, and T. Furuhashi, 74-81. Canberra, Australia: Springer.
    • (1998) Proceedings of the 2nd Asia-Pacific Conference on Simulated Evolution and Learning , pp. 74-81
    • He, H.1    Graco, W.2    Yao, X.3
  • 14
    • 0028825372 scopus 로고
    • GIS and the analysis of spatially-referenced crime data: Experiences in Merseyside. U.K
    • Hirschfield, A., P. Brown, and P. Todd. 1995. GIS and the analysis of spatially-referenced crime data: Experiences in Merseyside. U. K. Journal of Geographical Information Systems 9 (2): 191-210.
    • (1995) Journal of Geographical Information Systems , vol.9 , Issue.2 , pp. 191-210
    • Hirschfield, A.1    Brown, P.2    Todd, P.3
  • 15
    • 10944243785 scopus 로고    scopus 로고
    • Discovering colocation patterns from spatial data sets: A general approach
    • DOI 10.1109/TKDE.2004.90
    • Huang, Y., S. Shekhar, and H. Xiong. 2004. Discovering co-location patterns from spatial datasets: A general approach. IEEE Transactions on Knowledge and Data Engineering 16 (12): 1472-1485. (Pubitemid 40010922)
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , Issue.12 , pp. 1472-1485
    • Huang, Y.1    Shekhar, S.2    Xiong, H.3
  • 19
    • 0030383106 scopus 로고    scopus 로고
    • Finding aggregate proximity relationships and commonalities in spatial data mining
    • Knorr, E. M., and R. T. Ng. 1996. Finding Aggregate proximity relationships and commonalities in spatial data minings. IEEE Transactions on Knowledge and Data Engineering 8 (6): 884-897. (Pubitemid 126774145)
    • (1996) IEEE Transactions on Knowledge and Data Engineering , vol.8 , Issue.6 , pp. 884-897
    • Knorr, E.M.1    Ng, R.T.2
  • 20
    • 84885642924 scopus 로고    scopus 로고
    • Finding Boundary Shape Matching Relationships in Spatial Data
    • Advances in Spatial Databases
    • Knorr, E. M., R. T. Ng, and D. L. Shilvock. 1997. Finding boundary shape matching relationships in spatial data. In Proceedings of the 5th international symposium on spatial databases, Lecture Notes in Computer Science 1262, eds. M. Scholl and A. Voisard, 29-46. Berlin, Germany: Springer. (Pubitemid 127095483)
    • (1997) Lecture Notes in Computer Science , Issue.1262 , pp. 29-46
    • Knorr, E.M.1    Ng, R.T.2    Shilvock, D.L.3
  • 22
    • 84957645397 scopus 로고
    • Discovery of spatial association rules in geographic information databases
    • Lecture Notes in Computer Science 951, eds. M. J. Egenhofer and J. R. Herring. Portland, ME: Springer
    • Koperski, K., and J. Han. 1995. Discovery of spatial association rules in geographic information databases. In proceedings of the 4th international symposium on large spatial databases, Lecture Notes in Computer Science 951, eds. M. J. Egenhofer and J. R. Herring, 47-66. Portland, ME: Springer.
    • (1995) Proceedings of the 4th International Symposium on Large Spatial Databases , pp. 47-66
    • Koperski, K.1    Han, J.2
  • 23
    • 33846442458 scopus 로고    scopus 로고
    • Fast cluster polygonization and its applications in data-rich environments
    • DOI 10.1007/s10707-006-0340-x
    • Lee, I., and V. Estivill-Castro. 2006. Fast cluster polygonization and its applications in data-rich environments. Geoinformatica 10 (4): 399-422. (Pubitemid 46139405)
    • (2006) GeoInformatica , vol.10 , Issue.4 , pp. 399-422
    • Lee, I.1    Estivill-Castro, V.2
  • 24
    • 46149113272 scopus 로고    scopus 로고
    • Urban crime analysis through areal categorized multivariate associations mining
    • Lee, I., and P. Phillips. 2008. Urban crime analysis through areal categorized multivariate associations mining. Applied Artificial Intelligence 22 (5): 483-499.
    • (2008) Applied Artificial Intelligence , vol.22 , Issue.5 , pp. 483-499
    • Lee, I.1    Phillips, P.2
  • 25
    • 85181551340 scopus 로고
    • Point pattern analysis with density estimation for frequency data
    • Nashville, TN: American Society of Photogrammetry and Remote Sensing
    • Lee, J. 1995. Point pattern analysis with density estimation for frequency data. In Proceedings of the GIS= LIS-95 annual conference and exposition, 598-607. Nashville, TN: American Society of Photogrammetry and Remote Sensing.
    • (1995) Proceedings of the GIS= LIS-95 Annual Conference and Exposition , pp. 598-607
    • Lee, J.1
  • 26
    • 33745792614 scopus 로고    scopus 로고
    • CrimeStat: A spatial statistics program for the analysis of crime incident locations
    • Mary Washington College, Fredericksburg, VA: GeoComputation. CD-ROM: GC105
    • Levine, N. 1999. CrimeStat: A spatial statistics program for the analysis of crime incident locations. In Proceedings of the 4th international conference on geocomputation, Mary Washington College, Fredericksburg, VA: GeoComputation. CD-ROM: GC105.
    • (1999) Proceedings of the 4th International Conference on Geocomputation
    • Levine, N.1
  • 27
    • 0001259364 scopus 로고
    • A review of methods for the statistical analysis of spatial patterns of disease
    • Marshall, R. J. 1991. A review of methods for the statistical analysis of spatial patterns of disease. Journal of the Royal Statistical Society A 154 (3): 421-441.
    • (1991) Journal of the Royal Statistical Society A , vol.154 , Issue.3 , pp. 421-441
    • Marshall, R.J.1
  • 28
    • 27744497356 scopus 로고    scopus 로고
    • Mining association rules in spatio-temporal data: An analysis of urban socioeconomic and land cover change
    • Mennis, J., and J. W. Liu. 2005. Mining association rules in spatio-temporal data: An analysis of urban socioeconomic and land cover change. Transactions in GIS 9 (1): 5-17. (Pubitemid 41602019)
    • (2005) Transactions in GIS , vol.9 , Issue.1 , pp. 5-17
    • Mennis, J.1    Liu, J.W.2
  • 31
    • 0033775847 scopus 로고    scopus 로고
    • Integrating attribute and space characteristics in choropleth display and spatial data mining
    • Murray, A. T., and T. Shyy. 2000. Integrating attribute and space characteristics in choropleth display and spatial data mining. International Journal of Geographical Information Science 14: 649-667.
    • (2000) International Journal of Geographical Information Science , vol.14 , pp. 649-667
    • Murray, A.T.1    Shyy, T.2
  • 32
    • 84950876142 scopus 로고
    • A mark 1 geographical analysis machine for the automated analysis of point data sets
    • Openshaw, S. 1987. A mark 1 geographical analysis machine for the automated analysis of point data sets. International Journal of Geographical Information Science 1 (4): 335-358.
    • (1987) International Journal of Geographical Information Science , vol.1 , Issue.4 , pp. 335-358
    • Openshaw, S.1
  • 33
    • 0028562851 scopus 로고
    • Two exploratory space-time-attribute pattern analysers relevant to GIS
    • eds. A. S. Fotheringham and P. A. Rogerson. London: Taylor & Francis
    • Openshaw, S. 1994. Two exploratory space-time-attribute pattern analysers relevant to GIS. In Spatial Analysis and GIS, eds. A. S. Fotheringham and P. A. Rogerson, 83-104. London: Taylor & Francis.
    • (1994) Spatial Analysis and GIS , pp. 83-104
    • Openshaw, S.1
  • 34
    • 0030157416 scopus 로고    scopus 로고
    • Mining Quantitative Association Rules in Large Relational Tables
    • Srikant, R., and R. Agrawal. 1996. Mining quantitative association rules in large relational tables. In Proceedings of the ACM SIGMOD'96 international conference on management of data, eds. H. V. Jagadish and I. S. Mumick, 1-12. Montreal, Canada: ACM Press. (Pubitemid 126440751)
    • (1996) SIGMOD Record (ACM Special Interest Group on Management of Data) , vol.25 , Issue.2 , pp. 1-12
    • Srikant, R.1    Agrawal, R.2
  • 35
    • 84947767052 scopus 로고    scopus 로고
    • Evolutionary hot spots data mining-An architecture for exploring for interesting discoveries
    • Lecture Notes in Artificial Intelligence 1574, eds. N. Zhong and L. Zhou. Beijing, China: Springer
    • Williams, G. J. 1999. Evolutionary hot spots data mining-An architecture for exploring for interesting discoveries. In Proceedings of the 3rd Pacific-Asia conference on knowledge discovery and data mining, Lecture Notes in Artificial Intelligence 1574, eds. N. Zhong and L. Zhou, 184-193. Beijing, China: Springer.
    • (1999) Proceedings of the 3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining , pp. 184-193
    • Williams, G.J.1
  • 36
    • 3843055627 scopus 로고    scopus 로고
    • Effcient mining of both positive and negative association rules
    • Wu, X., C. Zhang, and S. Zhang. 2004. Effcient mining of both positive and negative association rules. ACM Transactions on Information Systems 22 (3): 381-405.
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.3 , pp. 381-405
    • Wu, X.1    Zhang, C.2    Zhang, S.3


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