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Volumn , Issue , 2008, Pages 572-575

Visualization and clustering of business process collections based on process metric values

Author keywords

Clustering; Heatmap; Process metric; Visualization

Indexed keywords

BUSINESS PROCESS; CLUSTERING; DIFFERENT PROCESS; HEATMAP; HEATMAPS; HIGH DIMENSIONAL DATA; METRIC VALUES; PROCESS MEASUREMENTS; PROCESS METRIC; PROCESS METRICS; REFERENCE MODELS; SOFTWARE MEASUREMENT; VISUALIZATION TECHNIQUE;

EID: 70449501055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYNASC.2008.37     Document Type: Conference Paper
Times cited : (17)

References (13)
  • 5
    • 84892062680 scopus 로고    scopus 로고
    • A survey of clustering data mining techniques
    • J. Kogan, C. Nicholas, and M. Teboulle, Eds. Springer
    • P. Berkhin, "A survey of clustering data mining techniques," in Grouping Multidimensional Data: Recent Advances in Clustering, J. Kogan, C. Nicholas, and M. Teboulle, Eds. Springer, 2006, pp. 25-71.
    • (2006) Grouping Multidimensional Data: Recent Advances in Clustering , pp. 25-71
    • Berkhin, P.1
  • 9
    • 38349043554 scopus 로고    scopus 로고
    • Testing density as a complexity metric for EPCs
    • Vienna University of Economics and Business Administration
    • J. Mendling, "Testing density as a complexity metric for EPCs," Vienna University of Economics and Business Administration, Tech. Rep. JM-2006-11-15, 2006.
    • (2006) Tech. Rep. JM-2006-11-15
    • Mendling, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.