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Volumn 40, Issue 12, 2013, Pages 4944-4956

Bagged Clustering and its application to tourism market segmentation

Author keywords

Bagged Clustering; Dissimilarity measures for quantitative and; Fuzzy C medoids; Normalized weighted Shannon entropy; Qualitative data; Tourism market segmentation

Indexed keywords

COMMERCE;

EID: 84885052257     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.03.005     Document Type: Article
Times cited : (59)

References (42)
  • 2
    • 33845581511 scopus 로고    scopus 로고
    • Using fuzzy number for measuring quality of service in the hotel industry
    • DOI 10.1016/j.tourman.2006.04.018, PII S0261517706000732
    • Benítez, J., Martín, J., & Román, C. (2007). Using fuzzy number for measuring quality of service inthe hotel industry. Tourism Management, 28, 544-555. (Pubitemid 44929376)
    • (2007) Tourism Management , vol.28 , Issue.2 , pp. 544-555
    • Benitez, J.M.1    Martin, J.C.2    Roman, C.3
  • 4
    • 14544293986 scopus 로고    scopus 로고
    • Market segmentation: Aneural network application
    • Bloom, J. (2005). Market segmentation:Aneural network application. Annals of Tourism Research, 32, 93-111.
    • (2005) Annals of Tourism Research , vol.32 , pp. 93-111
    • Bloom, J.1
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging predictors. Machine Learning, 24, 123-140. (Pubitemid 126724382)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 84861342872 scopus 로고    scopus 로고
    • Segmenting visitors ofcultural events by motivation: Asequential non-linear clustering analysis ofitalian christmas market visitors
    • Brida, J. G., Disegna, M., & Osti, L. (2012). Segmenting visitors ofcultural events by motivation: Asequential non-linear clustering analysis ofItalian Christmas Market visitors. Expert Systems with Applications, 39, 11349-11356.
    • (2012) Expert Systems with Applications , vol.39 , pp. 11349-11356
    • Brida, J.G.1    Disegna, M.2    Osti, L.3
  • 9
    • 84875047135 scopus 로고    scopus 로고
    • Authenticity perception ofcultural events: Ahost-tourist analysis
    • Brida, J. G., Disegna, M., & Osti, L. (2013a). Authenticity perception ofcultural events: Ahost-tourist analysis. Tourism, Culture & Communication, 12, 85-85. http://dx.doi.org/10.3727/109830413X13575858951121.
    • (2013) Tourism Culture & Communication , vol.12 , pp. 85-85
    • Brida, J.G.1    Disegna, M.2    Osti, L.3
  • 10
    • 84872850023 scopus 로고    scopus 로고
    • Visitors oftwo types ofmuseums: A segmentation study
    • Brida, J. G., Disegna, M., & Scuderi, R. (2013b). Visitors oftwo types ofmuseums:a segmentation study. Expert Systems with Applications, 40, 2224-2224. http://dx.doi.org/10.1016/j.eswa.2012.10.039.
    • (2013) Expert Systems with Applications , vol.40 , pp. 2224-2224
    • Brida, J.G.1    Disegna, M.2    Scuderi, R.3
  • 11
    • 67349198902 scopus 로고    scopus 로고
    • Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy c-means method for strategic grouping
    • Budayan, C., Dikmen, I., & Birgonul, M. (2009). Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy c-means method for strategic grouping. Expert Systems with Applications, 36, 11772-11781.
    • (2009) Expert Systems with Applications , vol.36 , pp. 11772-11781
    • Budayan, C.1    Dikmen, I.2    Birgonul, M.3
  • 13
    • 0037892855 scopus 로고    scopus 로고
    • Fuzzy k-mean clustering models for triangular fuzzy time trajectories
    • Coppi, R., & D'Urso, P. (2002). Fuzzy k-mean clustering models for triangular fuzzy time trajectories. Statistical Methods and Applications, 11, 21-24.
    • (2002) Statistical Methods and Applications , vol.11 , pp. 21-24
    • Coppi, R.1    D'Urso, P.2
  • 14
    • 0037950000 scopus 로고    scopus 로고
    • The kohonen self- organizing map: Anapplication tothe study ofstrategic groups inthe ukhotel industry
    • Curry, B., Davies, F., Phillips, P., Evans, M., & Moutinho, L. (2001). The Kohonen self- organizing map: Anapplication tothe study ofstrategic groups inthe UKhotel industry. Expert Systems, 18, 19-31.
    • (2001) Expert Systems , vol.18 , pp. 19-31
    • Curry, B.1    Davies, F.2    Phillips, P.3    Evans, M.4    Moutinho, L.5
  • 15
    • 84886368236 scopus 로고    scopus 로고
    • The use ofneural networks inmarketing: Market segmentation with self organising feature maps
    • Dolnicar, S. (1997). The use ofneural networks inmarketing:Market segmentation with self organising feature maps. In Proceedings of WSOM (Vol. 97, pp.4-6).
    • (1997) Proceedings of WSOM , vol.97 , pp. 4-6
    • Dolnicar, S.1
  • 16
    • 0012635458 scopus 로고    scopus 로고
    • Working paper 71SFB Adaptive Information Systems and Modelling in Economics and Management Science WUVienna University of Economics and Business
    • Dolnicar, S., & Leisch, F. (2000). Getting more out ofbinary data. Segmenting markets by bagged clustering. Working paper 71SFB Adaptive Information Systems and Modelling in Economics and Management Science WUVienna University of Economics and Business.
    • (2000) Getting More Out Ofbinary Data. Segmenting Markets by Bagged Clustering
    • Dolnicar, S.1    Leisch, F.2
  • 17
    • 35148825648 scopus 로고    scopus 로고
    • Tourism and discretionary income allocation. Heterogeneity among households
    • DOI 10.1016/j.tourman.2007.04.008, PII S026151770700101X
    • Dolnicar, S., Crouch, G., Devinney, T., Huybers, T., Louviere, J., & Oppewal, H. (2008). Tourism and discretionary income allocation heterogeneity among households. Tourism Management, 29, 44-52. (Pubitemid 47535086)
    • (2008) Tourism Management , vol.29 , Issue.1 , pp. 44-52
    • Dolnicar, S.1    Crouch, G.I.2    Devinney, T.3    Huybers, T.4    Louviere, J.J.5    Oppewal, H.6
  • 18
    • 0037303156 scopus 로고    scopus 로고
    • Winter tourist segments in Austria: Identifying stable vacation styles using bagged clustering techniques
    • DOI 10.1177/0047287502239037
    • Dolnicar, S., & Leisch, F. (2003). Winter tourist segments inAustria:Identifying stable vacation styles using bagged clustering techniques. Journal of Travel Research, 41, 281-292. (Pubitemid 36364341)
    • (2003) Journal of Travel Research , vol.41 , Issue.3 , pp. 281-292
    • Dolnicar, S.1    Leisch, F.2
  • 20
    • 64249126577 scopus 로고    scopus 로고
    • Clustering offuzzy data
    • J. DeOliveira &W. Pedrycz (Eds.), John Wiley and Sons
    • D'Urso, P. (2007). Clustering offuzzy data. InJ. DeOliveira &W. Pedrycz (Eds.), Advances in fuzzy clustering and its applications (pp. 155-192). John Wiley and Sons.
    • (2007) Advances in Fuzzy Clustering and Its Applications , pp. 155-192
    • D'Urso, P.1
  • 21
    • 84871883497 scopus 로고    scopus 로고
    • Autoregressive model-based fuzzy clustering and its application for detecting information redundancy inair pollution monitoring networks
    • D'Urso, P., DiLallo, D., & Maharaj, E. (2013). Autoregressive model-based fuzzy clustering and its application for detecting information redundancy inair pollution monitoring networks. Soft Computing - AFusion ofFoundations, Methodologies and Applications, 17, 83-131.
    • (2013) Soft Computing - AFusion OfFoundations, Methodologies and Applications , vol.17 , pp. 83-131
    • D'Urso, P.1    Dilallo, D.2    Maharaj, E.3
  • 22
    • 0031508490 scopus 로고    scopus 로고
    • Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima
    • Heiser, W., & Groenen, P. (1997). Cluster differences scaling with awithin-clusters loss component and a fuzzy successive approximation strategy toavoid local minima. Psychometrika, 62, 63-83. (Pubitemid 127372853)
    • (1997) Psychometrika , vol.62 , Issue.1 , pp. 63-83
    • Heiser, W.J.1    Groenen, P.J.F.2
  • 23
    • 85009600459 scopus 로고    scopus 로고
    • Culture and tourism: Aframework for further analysis
    • Hughes, H. (2002). Culture and tourism:Aframework for further analysis. Managing Leisure, 7, 164-175.
    • (2002) Managing Leisure , vol.7 , pp. 164-175
    • Hughes, H.1
  • 24
    • 11244269512 scopus 로고    scopus 로고
    • Fuzzy clustering on LR-type fuzzy numbers with an application in Taiwanese tea evaluation
    • DOI 10.1016/j.fss.2004.04.007, PII S0165011404001563
    • Hung, W., & Yang, M. (2005). Fuzzy clustering onlr-type fuzzy numbers with an application in Taiwanese tea evaluation. Fuzzy Sets and Systems, 150, 561-577. (Pubitemid 40061318)
    • (2005) Fuzzy Sets and Systems , vol.150 , Issue.3 , pp. 561-577
    • Hung, W.-L.1    Yang, M.-S.2
  • 25
    • 69149101154 scopus 로고    scopus 로고
    • Fuzzy clusterwise generalized structured component analysis
    • Hwang, H., Desarbo, W., & Takane, Y. (2007). Fuzzy clusterwise generalized structured component analysis. Psychometrika, 72, 181-198.
    • (2007) Psychometrika , vol.72 , pp. 181-198
    • Hwang, H.1    Desarbo, W.2    Takane, Y.3
  • 26
    • 84871852788 scopus 로고    scopus 로고
    • Technical Report TR-CS-00-05 Department ofComputer Science and Electrical Engineering, University ofMaryland Baltimore County
    • Kamdar, T., & Joshi, A. (2000). Oncreating adaptive Web servers using Weblog Mining. Technical Report TR-CS-00-05 Department ofComputer Science and Electrical Engineering, University ofMaryland Baltimore County.
    • (2000) Oncreating Adaptive Web Servers Using Weblog Mining
    • Kamdar, T.1    Joshi, A.2
  • 28
    • 34250176564 scopus 로고    scopus 로고
    • Understanding participation patterns and trends in tourism cultural attractions
    • DOI 10.1016/j.tourman.2006.09.023, PII S0261517706001956
    • Kim, H., Cheng, C., & O'Leary, J. (2007). Understanding participation patterns and trends in tourism cultural attractions. Tourism Management, 28, 1366-1371. (Pubitemid 46902358)
    • (2007) Tourism Management , vol.28 , Issue.5 , pp. 1366-1371
    • Kim, H.1    Cheng, C.-K.2    O'Leary, J.T.3
  • 29
    • 0037310413 scopus 로고    scopus 로고
    • Segmenting the market of West Australian senior tourists using an artificial neural network
    • DOI 10.1016/S0261-5177(02)00050-X, PII S026151770200050X
    • Kim, J., Wei, S., & Ruys, H. (2003). Segmenting the market ofWest Australian senior tourists using anartificialneural network. Tourism Management, 24, 25-34. (Pubitemid 36166792)
    • (2003) Tourism Management , vol.24 , Issue.1 , pp. 25-34
    • Kim, J.1    Wei, S.2    Ruys, H.3
  • 32
    • 0035416012 scopus 로고    scopus 로고
    • Low-complexity fuzzy relational clustering algorithms for Web mining
    • DOI 10.1109/91.940971, PII S1063670601067960, Fuzzy Logic at the Turn of the Millennium
    • Krishnapuram, R., Joshi, A., Nasraoui, O., & Yi, L. (2001). Low-complexity fuzzy relational clustering algorithms for web mining. IEEE Transactions on Fuzzy Systems, 9, 595-607. (Pubitemid 32933045)
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.4 , pp. 595-607
    • Krishnapuram, R.1    Joshi, A.2    Nasraoui, O.3    Yi, L.4
  • 33
    • 25944479013 scopus 로고    scopus 로고
    • Working paper 51SFB adaptive information systems and modelling ineconomics and management science WUVienna University of Economics and Business
    • Leisch, F. (1999). Bagged clustering. Working paper 51SFB adaptive information systems and modelling ineconomics and management science WUVienna University of Economics and Business.
    • (1999) Bagged Clustering
    • Leisch, F.1
  • 35
    • 84886371262 scopus 로고    scopus 로고
    • Data mining techniques and applications - A decade review from 2000 to 2011
    • Liao, S., Chu, P., & Hsiao, P. (2012). Data mining techniques and applications -A decade review from 2000 to 2011. Expert Systems with Applications, 36, 11772-11781.
    • (2012) Expert Systems with Applications , vol.36 , pp. 11772-11781
    • Liao, S.1    Chu, P.2    Hsiao, P.3
  • 37
  • 38
    • 12444312347 scopus 로고    scopus 로고
    • Mining customer data: Astep-by-step look atapowerful clustering and segmentation methodology
    • Saarenvirta, G. (1998). Mining customer data:Astep-by-step look atapowerful clustering and segmentation methodology. DB2 Magazine Online, 3, 10-20.
    • (1998) DB2 Magazine Online , vol.3 , pp. 10-20
    • Saarenvirta, G.1
  • 39
    • 4644272047 scopus 로고
    • Technical Report 23 National Endowment for the Arts (NEA)Washington
    • Schuster, M. (1991). The audience for American art museums. Technical Report 23 National Endowment for the Arts (NEA)Washington.
    • (1991) The Audience for American Art Museums
    • Schuster, M.1
  • 40
    • 78649812323 scopus 로고    scopus 로고
    • Event segmentation: Areview and research agenda
    • Tkaczynski, A., & Rundle-Thiele, S. (2011). Event segmentation:Areview and research agenda. Tourism Management, 32, 426-434.
    • (2011) Tourism Management , vol.32 , pp. 426-434
    • Tkaczynski, A.1    Rundle-Thiele, S.2
  • 42
    • 0002906641 scopus 로고    scopus 로고
    • Onaclass offuzzy c-numbers clustering procedures for fuzzy data
    • Yang, M., & Ko, C. (1996). Onaclass offuzzy c-numbers clustering procedures for fuzzy data. Fuzzy Sets and Systems, 84, 49-49.
    • (1996) Fuzzy Sets and Systems , vol.84 , pp. 49-49
    • Yang, M.1    Ko, C.2


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