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Volumn 46, Issue , 2016, Pages 324-335

Spatial co-location pattern mining for location-based services in road networks

Author keywords

Location based services; Network analysis; Network space; Spatial co location patterns; Spatial data mining

Indexed keywords

DATA MINING; ELECTRIC NETWORK ANALYSIS; LOCATION; MOTOR TRANSPORTATION; ROADS AND STREETS; TELECOMMUNICATION SERVICES;

EID: 84947280087     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.10.010     Document Type: Article
Times cited : (95)

References (36)
  • 2
    • 84923032893 scopus 로고    scopus 로고
    • Generation of constrained network Voronoi diagram using linear tessellation and expansion method
    • Ai T., Yu W., He Y. Generation of constrained network Voronoi diagram using linear tessellation and expansion method Computers, Environment and Urban Systems 51 2015 83 96
    • (2015) Computers, Environment and Urban Systems , vol.51 , pp. 83-96
    • Ai, T.1    Yu, W.2    He, Y.3
  • 5
    • 0036091511 scopus 로고    scopus 로고
    • Location-based services: Navigation for the masses, at last!
    • Beatty C. Location-based services: navigation for the masses, at last! Journal of Navigation 55 2 2002 241 248
    • (2002) Journal of Navigation , vol.55 , Issue.2 , pp. 241-248
    • Beatty, C.1
  • 6
    • 68149083131 scopus 로고    scopus 로고
    • FARICS: A method of mining spatial association rules and collocations using clustering and delaunay diagrams
    • Bembenik R., Rybiński H. FARICS: a method of mining spatial association rules and collocations using clustering and delaunay diagrams Journal of Intelligent Information Systems 33 1 2009 41 64
    • (2009) Journal of Intelligent Information Systems , vol.33 , Issue.1 , pp. 41-64
    • Bembenik, R.1    Rybiński, H.2
  • 7
    • 84905442034 scopus 로고    scopus 로고
    • Algorithms for spatial collocation pattern mining in a limited memory environment: A summary of results
    • Boinski P., Zakrzewicz M. Algorithms for spatial collocation pattern mining in a limited memory environment: a summary of results Journal of Intelligent Information Systems 43 1 2014 147 182
    • (2014) Journal of Intelligent Information Systems , vol.43 , Issue.1 , pp. 147-182
    • Boinski, P.1    Zakrzewicz, M.2
  • 8
    • 0034259204 scopus 로고    scopus 로고
    • Mining multiple-level spatial association rules for objects with a broad boundary
    • Clementini E., Felice P.D., Koperski K. Mining multiple-level spatial association rules for objects with a broad boundary Data & Knowledge Engineering 34 3 2000 251 270
    • (2000) Data & Knowledge Engineering , vol.34 , Issue.3 , pp. 251-270
    • Clementini, E.1    Felice, P.D.2    Koperski, K.3
  • 9
    • 34147120474 scopus 로고
    • A note on two problems in connexion with graphs
    • Dijkstra E.W. A note on two problems in connexion with graphs Numerische Mathematik 1 1 1959 269 271
    • (1959) Numerische Mathematik , vol.1 , Issue.1 , pp. 269-271
    • Dijkstra, E.W.1
  • 12
    • 33845237122 scopus 로고    scopus 로고
    • Mining co-location patterns with rare events from spatial data sets
    • Huang Y., Pei J., Xiong H. Mining co-location patterns with rare events from spatial data sets Geoinformatica 10 3 2006 239 260
    • (2006) Geoinformatica , vol.10 , Issue.3 , pp. 239-260
    • Huang, Y.1    Pei, J.2    Xiong, H.3
  • 13
    • 28044458115 scopus 로고    scopus 로고
    • Alternative solutions for continuous k nearest neighbor queries in spatial network databases
    • Kolahdouzan M.R., Shahabi C. Alternative solutions for continuous k nearest neighbor queries in spatial network databases Geoinformatica 9 4 2005 321 341
    • (2005) Geoinformatica , vol.9 , Issue.4 , pp. 321-341
    • Kolahdouzan, M.R.1    Shahabi, C.2
  • 14
    • 84957645397 scopus 로고
    • Discovery of spatial association rules in geographic information databases
    • Portland, Maine Portland, Maine Springer
    • Koperski K., Han J. Discovery of spatial association rules in geographic information databases Proceedings of 4th international symposium on large spatial databases Portland, Maine 1995 Portland, Maine Springer 47 66
    • (1995) Proceedings of 4th International Symposium on Large Spatial Databases , pp. 47-66
    • Koperski, K.1    Han, J.2
  • 15
    • 84859217923 scopus 로고    scopus 로고
    • Geographic knowledge discovery from web map segmentation through generalized Voronoi diagrams
    • Lee I., Torpelund-Bruin C. Geographic knowledge discovery from web map segmentation through generalized Voronoi diagrams Expert Systems with Applications 39 10 2012 9376 9388
    • (2012) Expert Systems with Applications , vol.39 , Issue.10 , pp. 9376-9388
    • Lee, I.1    Torpelund-Bruin, C.2
  • 16
    • 27744497356 scopus 로고    scopus 로고
    • Mining association rules in spatio-temporal data: An analysis of urban socioeconomic and land cover change
    • Mennis J., Liu J.W. Mining association rules in spatio-temporal data: an analysis of urban socioeconomic and land cover change Transactions in GIS 9 1 2005 5 17
    • (2005) Transactions in GIS , vol.9 , Issue.1 , pp. 5-17
    • Mennis, J.1    Liu, J.W.2
  • 17
    • 0028591272 scopus 로고
    • Market area delimitation within networks using geographic information systems
    • Miller H.J. Market area delimitation within networks using geographic information systems Geographical Systems 1 1994 157 173
    • (1994) Geographical Systems , vol.1 , pp. 157-173
    • Miller, H.J.1
  • 20
    • 33745842189 scopus 로고    scopus 로고
    • The SANET toolbox: New methods for network spatial analysis
    • Okabe A., Okunuki K.I., Shiode S. The SANET toolbox: new methods for network spatial analysis Transactions in GIS 10 4 2006 535 550
    • (2006) Transactions in GIS , vol.10 , Issue.4 , pp. 535-550
    • Okabe, A.1    Okunuki, K.I.2    Shiode, S.3
  • 24
    • 84861796088 scopus 로고    scopus 로고
    • Mining co-distribution patterns for large crime datasets
    • Phillips P., Lee I. Mining co-distribution patterns for large crime datasets Expert Systems with Applications 39 14 2012 11556 11563
    • (2012) Expert Systems with Applications , vol.39 , Issue.14 , pp. 11556-11563
    • Phillips, P.1    Lee, I.2
  • 25
    • 17244376446 scopus 로고    scopus 로고
    • Geo-spatial data mining in the analysis of a demographic database
    • Santos M.Y., Amaral L. Geo-spatial data mining in the analysis of a demographic database Soft Computing 9 5 2005 374 384
    • (2005) Soft Computing , vol.9 , Issue.5 , pp. 374-384
    • Santos, M.Y.1    Amaral, L.2
  • 27
    • 79958258943 scopus 로고    scopus 로고
    • Street-level spatial scan statistic and STAC for analysing street crime concentrations
    • Shiode S. Street-level spatial scan statistic and STAC for analysing street crime concentrations Transactions in GIS 15 3 2011 365 383
    • (2011) Transactions in GIS , vol.15 , Issue.3 , pp. 365-383
    • Shiode, S.1
  • 28
    • 84866703382 scopus 로고    scopus 로고
    • Efficient discovery of spatial co-location patterns using the iCPI-tree
    • Wang L., Bao Y., Lu Z. Efficient discovery of spatial co-location patterns using the iCPI-tree The Open Information Systems Journal 3 2 2009 69 80
    • (2009) The Open Information Systems Journal , vol.3 , Issue.2 , pp. 69-80
    • Wang, L.1    Bao, Y.2    Lu, Z.3
  • 29
    • 59549084797 scopus 로고    scopus 로고
    • KNFCOM-T: A k-nearest features-based co-location pattern mining algorithm for large spatial data sets by using t-trees
    • Wan Y., Zhou J. KNFCOM-T: A k-nearest features-based co-location pattern mining algorithm for large spatial data sets by using t-trees International Journal of Business Intelligence and Data Mining 3 4 2009 375 389
    • (2009) International Journal of Business Intelligence and Data Mining , vol.3 , Issue.4 , pp. 375-389
    • Wan, Y.1    Zhou, J.2
  • 30
    • 53949112256 scopus 로고    scopus 로고
    • Kernel density estimation of traffic accidents in a network space
    • Xie Z., Yan J. Kernel density estimation of traffic accidents in a network space Computers, Environment and Urban Systems 35 5 2008 396 406
    • (2008) Computers, Environment and Urban Systems , vol.35 , Issue.5 , pp. 396-406
    • Xie, Z.1    Yan, J.2
  • 31
    • 34250662644 scopus 로고    scopus 로고
    • Local indicators of network-constrained clusters in spatial point patterns
    • Yamada I., Thill J.C. Local indicators of network-constrained clusters in spatial point patterns Geographical Analysis 39 3 2007 268 292
    • (2007) Geographical Analysis , vol.39 , Issue.3 , pp. 268-292
    • Yamada, I.1    Thill, J.C.2
  • 34
    • 84856617586 scopus 로고    scopus 로고
    • Mining spatial colocation patterns: A different framework
    • Yoo J.S., Bow M. Mining spatial colocation patterns: a different framework Data Mining and Knowledge Discovery 24 1 2012 159 194
    • (2012) Data Mining and Knowledge Discovery , vol.24 , Issue.1 , pp. 159-194
    • Yoo, J.S.1    Bow, M.2
  • 35
    • 84938523859 scopus 로고    scopus 로고
    • The analysis and delimitation of Central Business District using network kernel density estimation
    • Yu W., Ai T., Shao S. The analysis and delimitation of Central Business District using network kernel density estimation Journal of Transport Geography 45 2015 32 47
    • (2015) Journal of Transport Geography , vol.45 , pp. 32-47
    • Yu, W.1    Ai, T.2    Shao, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.