메뉴 건너뛰기




Volumn 7104 LNAI, Issue , 2012, Pages 171-182

Analysis of cluster migrations using self-organizing maps

Author keywords

change analysis; cluster migration analysis; Self Organizing Map; temporal cluster analysis; visual data exploration

Indexed keywords

BUSINESS STRATEGY; CHANGE ANALYSIS; CLUSTER MIGRATION ANALYSIS; DATA SETS; DATA STREAM CLUSTERING; ENTITY-LEVEL; FRAUD DETECTION; MIGRATION PATH; REAL LIFE DATA; REAL LIFE DATASETS; SELF ORGANIZING; SNAPSHOT DATA; TEMPORAL CLUSTERING; VISUAL DATA EXPLORATION; VISUAL EXPLORATION; WORLD BANK;

EID: 84857775864     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28320-8_15     Document Type: Conference Paper
Times cited : (3)

References (17)
  • 1
    • 33750429921 scopus 로고    scopus 로고
    • CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services
    • Burez, J., den Poel, D.V.: CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services. Expert Systems with Applications 32(2), 277-288 (2007)
    • (2007) Expert Systems with Applications , vol.32 , Issue.2 , pp. 277-288
    • Burez, J.1    Den Poel, D.V.2
  • 3
    • 26944480755 scopus 로고    scopus 로고
    • Visualization of Cluster Changes by Comparing Self- Organizing Maps
    • Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. Springer, Heidelberg
    • Denny, Squire, D.M.: Visualization of Cluster Changes by Comparing Self- Organizing Maps. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol. 3518, pp. 410-419. Springer, Heidelberg (2005)
    • (2005) LNCS (LNAI) , vol.3518 , pp. 410-419
    • Denny1    Squire, D.M.2
  • 4
    • 44649152313 scopus 로고    scopus 로고
    • Exploratory Hot Spot Profile Analysis using Interactive Visual Drill-down Self-Organizing Maps
    • Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds.) PAKDD 2008. Springer, Heidelberg
    • Denny, Williams, G.J., Christen, P.: Exploratory Hot Spot Profile Analysis using Interactive Visual Drill-down Self-Organizing Maps. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds.) PAKDD 2008. LNCS (LNAI), vol. 5012, pp. 536-543. Springer, Heidelberg (2008)
    • (2008) LNCS (LNAI) , vol.5012 , pp. 536-543
    • Denny1    Williams, G.J.2    Christen, P.3
  • 5
    • 78049429522 scopus 로고    scopus 로고
    • Visualizing Temporal Cluster Changes using Relative Density Self-Organizing Maps
    • Denny, Williams, G.J., Christen, P.: Visualizing Temporal Cluster Changes using Relative Density Self-Organizing Maps. Knowledge and Information Systems 25, 281-302 (2010)
    • (2010) Knowledge and Information Systems , vol.25 , pp. 281-302
    • Denny1    Williams, G.J.2    Christen, P.3
  • 10
    • 0037257247 scopus 로고    scopus 로고
    • The impact of customer relationship characteristics on profitable lifetime duration
    • Reinartz, W.J., Kumar, V.: The impact of customer relationship characteristics on profitable lifetime duration. The Journal of Marketing 67(1), 77-99 (2003)
    • (2003) The Journal of Marketing , vol.67 , Issue.1 , pp. 77-99
    • Reinartz, W.J.1    Kumar, V.2
  • 13
    • 84857767086 scopus 로고    scopus 로고
    • Let financial data speak for themselves
    • Deboeck, G., Kohonen, T. (eds.) Springer, London
    • Serrano-Cinca, C.: Let financial data speak for themselves. In: Deboeck, G., Kohonen, T. (eds.) Visual Explorations in Finance with Self-Organizing Maps, pp. 3-23. Springer, London (1998)
    • (1998) Visual Explorations in Finance with Self-Organizing Maps , pp. 3-23
    • Serrano-Cinca, C.1
  • 14
    • 38049168357 scopus 로고    scopus 로고
    • SOM-based data visualization methods
    • Vesanto, J.: SOM-based data visualization methods. Intelligent Data Analysis 3(2), 111-126 (1999)
    • (1999) Intelligent Data Analysis , vol.3 , Issue.2 , pp. 111-126
    • Vesanto, J.1
  • 16
    • 0003675348 scopus 로고    scopus 로고
    • World Bank: The World Bank, Washington DC
    • World Bank: World Development Indicators 2003. The World Bank, Washington DC (2003)
    • (2003) World Development Indicators 2003


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.