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Volumn 376, Issue , 2017, Pages 1-20

Improving ATM coverage area using density based clustering algorithm and voronoi diagrams

Author keywords

ATM location; Clustering algorithms; Density based; Fuzzy; Voronoi diagram

Indexed keywords

COMPUTATIONAL GEOMETRY; FUZZY SET THEORY; FUZZY SYSTEMS; GEOGRAPHICAL REGIONS; GRAPHIC METHODS; LOCATION; LOCATION BASED SERVICES; OPTIMIZATION; PUBLIC UTILITIES; QUALITY OF SERVICE; SALES; TELECOMMUNICATION SERVICES;

EID: 84992364554     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2016.09.058     Document Type: Article
Times cited : (32)

References (38)
  • 1
    • 63449133366 scopus 로고    scopus 로고
    • A survey of uncertain data algorithms and applications
    • [1] Aggarwal, C., Yu, P., A survey of uncertain data algorithms and applications. Knowl. Data Eng. IEEE Trans. 21:5 (2009), 609–623.
    • (2009) Knowl. Data Eng. IEEE Trans. , vol.21 , Issue.5 , pp. 609-623
    • Aggarwal, C.1    Yu, P.2
  • 2
    • 71849109392 scopus 로고    scopus 로고
    • Location of banking automatic teller machines based on convolution
    • [2] Aldajani, M.A., Alfares, H.K., Location of banking automatic teller machines based on convolution. Comput. Ind. Eng. 57:4 (2009), 1194–1201.
    • (2009) Comput. Ind. Eng. , vol.57 , Issue.4 , pp. 1194-1201
    • Aldajani, M.A.1    Alfares, H.K.2
  • 5
    • 84892062680 scopus 로고    scopus 로고
    • A survey of clustering data mining techniques
    • [5] Berkhin, P., A survey of clustering data mining techniques. Grouping Multidimensional Data, 2006, 25–71.
    • (2006) Grouping Multidimensional Data , pp. 25-71
    • Berkhin, P.1
  • 7
    • 0021583718 scopus 로고
    • FCM: the fuzzy c-means clustering algorithm
    • [7] Bezdek, J.C., Ehrlich, R., Full, W., FCM: the fuzzy c-means clustering algorithm. Comput. Geosci. 10:2 (1984), 191–203.
    • (1984) Comput. Geosci. , vol.10 , Issue.2 , pp. 191-203
    • Bezdek, J.C.1    Ehrlich, R.2    Full, W.3
  • 8
    • 52649136576 scopus 로고    scopus 로고
    • Similarity measures for categorical data: a comparative evaluation.
    • SIAM
    • [8] Boriah, S., Chandola, V., Kumar, V., Similarity measures for categorical data: a comparative evaluation. SDM, 2008, SIAM, 243–254.
    • (2008) SDM , pp. 243-254
    • Boriah, S.1    Chandola, V.2    Kumar, V.3
  • 9
    • 0142214892 scopus 로고    scopus 로고
    • Experiments on graph clustering algorithms
    • G. Di Battista U. Zwick Springer Berlin Heidelberg
    • [9] Brandes, U., Gaertler, M., Wagner, D., Experiments on graph clustering algorithms. Di Battista, G., Zwick, U., (eds.) Algorithms - ESA 2003 Lecture Notes in Computer Science, vol. 2832, 2003, Springer Berlin Heidelberg, 568–579.
    • (2003) Algorithms - ESA 2003, Lecture Notes in Computer Science , vol.2832 , pp. 568-579
    • Brandes, U.1    Gaertler, M.2    Wagner, D.3
  • 10
    • 84974743850 scopus 로고
    • Fuzzy model identification based on cluster estimation
    • [10] Chiu, S.L., Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst. 2:3 (1994), 267–278.
    • (1994) J. Intell. Fuzzy Syst. , vol.2 , Issue.3 , pp. 267-278
    • Chiu, S.L.1
  • 12
    • 84941155240 scopus 로고
    • Well separated clusters and optimal fuzzy-partitions
    • [12] Dunn, J.C., Well separated clusters and optimal fuzzy-partitions. J. Cybern. 4 (1974), 95–104.
    • (1974) J. Cybern. , vol.4 , pp. 95-104
    • Dunn, J.C.1
  • 13
    • 49949099156 scopus 로고    scopus 로고
    • Maximal breach in wireless sensor networks: geometric characterization and algorithms
    • M. Kutylowski J. Cichol P. Kubiak Springer Berlin Heidelberg
    • [13] Duttagupta, A., Bishnu, A., Sengupta, I., Maximal breach in wireless sensor networks: geometric characterization and algorithms. Kutylowski, M., Cichol, J., Kubiak, P., (eds.) Algorithmic Aspects of Wireless Sensor Networks Lecture Notes in Computer Science, vol. 4837, 2008, Springer Berlin Heidelberg, 126–137.
    • (2008) Algorithmic Aspects of Wireless Sensor Networks, Lecture Notes in Computer Science , vol.4837 , pp. 126-137
    • Duttagupta, A.1    Bishnu, A.2    Sengupta, I.3
  • 15
    • 0348096294 scopus 로고    scopus 로고
    • Clustering validity checking methods: Part ii
    • [15] Halkidi, M., Batistakis, Y., Vazirgiannis, M., Clustering validity checking methods: Part ii. SIGMOD Rec. 31:3 (2002), 19–27.
    • (2002) SIGMOD Rec. , vol.31 , Issue.3 , pp. 19-27
    • Halkidi, M.1    Batistakis, Y.2    Vazirgiannis, M.3
  • 16
    • 0003585297 scopus 로고    scopus 로고
    • Data Mining: Concepts and Techniques
    • Morgan Kaufmann Publishers Inc. San Francisco, CA, USA
    • [16] Han, J., Data Mining: Concepts and Techniques. 2005, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
    • (2005)
    • Han, J.1
  • 17
    • 0034515528 scopus 로고    scopus 로고
    • A clustering algorithm based on graph connectivity
    • [17] Hartuv, E., Shamir, R., A clustering algorithm based on graph connectivity. Inf. Process. Lett. 76:4–6 (2000), 175–181.
    • (2000) Inf. Process. Lett. , vol.76 , Issue.4-6 , pp. 175-181
    • Hartuv, E.1    Shamir, R.2
  • 18
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • [18] Huang, Z., Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Min. Knowl. Discov. 2:3 (1998), 283–304.
    • (1998) Data Min. Knowl. Discov. , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1
  • 22
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • L.M.L. Cam J. Neyman University of California Press
    • [22] MacQueen, J.B., Some methods for classification and analysis of multivariate observations. Cam, L.M.L., Neyman, J., (eds.) Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, 1967, University of California Press, 281–297.
    • (1967) Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.B.1
  • 26
    • 84944273276 scopus 로고    scopus 로고
    • The three-hierarchical location-allocation of banking facilities with risk and uncertainty
    • [26] Min, H., Melachrinoudis, E., The three-hierarchical location-allocation of banking facilities with risk and uncertainty. Int. Trans. Oper. Res. 8:4 (2001), 381–401.
    • (2001) Int. Trans. Oper. Res. , vol.8 , Issue.4 , pp. 381-401
    • Min, H.1    Melachrinoudis, E.2
  • 27
    • 84937938506 scopus 로고    scopus 로고
    • Locating and sizing bank-branches by opening, closing or maintaining facilities
    • H.-D. Haasis H. Kopfer J. Schönberger
    • [27] Monteiro, M., B.M.M.D. Fontes, Locating and sizing bank-branches by opening, closing or maintaining facilities. Haasis, H.-D., Kopfer, H., Schönberger, J., (eds.) OR, 2005, 303–308.
    • (2005) OR , pp. 303-308
    • Monteiro, M.1    Fontes, B.M.M.D.2
  • 28
    • 57749175394 scopus 로고    scopus 로고
    • Business Site Selection, Location Analysis and GIS
    • Wiley New York
    • [28] Murray, A.T., Business Site Selection, Location Analysis and GIS. 2009, Wiley, New York.
    • (2009)
    • Murray, A.T.1
  • 31
    • 84992408609 scopus 로고    scopus 로고
    • Location theory: a unified approach, springer
    • [31] Nickel, S., Puerto, J., Location theory: a unified approach, springer. Eur. J. Oper. Res. 181:1 (2005), 523–525.
    • (2005) Eur. J. Oper. Res. , vol.181 , Issue.1 , pp. 523-525
    • Nickel, S.1    Puerto, J.2
  • 32
    • 84992349519 scopus 로고    scopus 로고
    • Determinants of atm usage among students of tertiary institutions in nigeria
    • [32] Olowookere, E., Olowookere, A., Determinants of atm usage among students of tertiary institutions in nigeria. J. Econ. Theory 8:1 (2014), 5–13.
    • (2014) J. Econ. Theory , vol.8 , Issue.1 , pp. 5-13
    • Olowookere, E.1    Olowookere, A.2
  • 34
    • 22044455069 scopus 로고    scopus 로고
    • Density-based clustering in spatial databases: the algorithm gdbscan and its applications
    • [34] Sander, J., Ester, M., Kriegel, H.-P., Xu, X., Density-based clustering in spatial databases: the algorithm gdbscan and its applications. Data Min. Knowl. Discov. 2:2 (1998), 169–194.
    • (1998) Data Min. Knowl. Discov. , vol.2 , Issue.2 , pp. 169-194
    • Sander, J.1    Ester, M.2    Kriegel, H.-P.3    Xu, X.4
  • 35
    • 25144439604 scopus 로고    scopus 로고
    • Introduction to Data Mining
    • us ed Addison Wesley
    • [35] Tan, P.-N., Steinbach, M., Kumar, V., Introduction to Data Mining. us ed, 2005, Addison Wesley.
    • (2005)
    • Tan, P.-N.1    Steinbach, M.2    Kumar, V.3
  • 36
    • 0036421121 scopus 로고    scopus 로고
    • Algorithms for a facility location problem with stochastic customer demand and immobile servers.
    • [36] Wang, Q., Batta, R., Rump, C.M., Algorithms for a facility location problem with stochastic customer demand and immobile servers. Annals OR 111:1–4 (2002), 17–34.
    • (2002) Annals OR , vol.111 , Issue.1-4 , pp. 17-34
    • Wang, Q.1    Batta, R.2    Rump, C.M.3
  • 37
    • 16444383160 scopus 로고    scopus 로고
    • Survey of clustering algorithms
    • [37] Xu, R., Wunsch, D. II, Survey of clustering algorithms. Trans. Neur. Netw. 16:3 (2005), 645–678.
    • (2005) Trans. Neur. Netw. , vol.16 , Issue.3 , pp. 645-678
    • Xu, R.1    Wunsch, D.2
  • 38
    • 84858700969 scopus 로고    scopus 로고
    • A voronoi-based heuristic algorithm for locating distribution centers in disasters
    • [38] Yushimito, W., Jaller, M., Ukkusuri, S., A voronoi-based heuristic algorithm for locating distribution centers in disasters. Netw. Spatial Econ. 12:1 (2012), 21–39.
    • (2012) Netw. Spatial Econ. , vol.12 , Issue.1 , pp. 21-39
    • Yushimito, W.1    Jaller, M.2    Ukkusuri, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.