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Volumn 21 LNBIP, Issue , 2009, Pages 109-120

Advanced social features in a recommendation system for process modeling

Author keywords

Business Processes; Modeling Support; Personalization; Social Networks

Indexed keywords

BUSINESS PROCESS; BUSINESS PROCESSES; EXISTING SYSTEMS; MODELING SUPPORT; PERSONALIZATION; PERSONALIZED VIEWS; PROCESS MODEL; PROCESS MODELING; RECOMMENDATION SYSTEMS; RELATED CONTENT; SOCIAL NETWORK; SOCIAL NETWORKS; SOCIAL SOFTWARE;

EID: 66249105674     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-01190-0_10     Document Type: Article
Times cited : (16)

References (17)
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    • Hornung, T., Koschmider, A., Lausen, G.: Recommendation based process modeling support: Method and user experience. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds.) ER 2008. LNCS, vol. 5231, pp. 265-278. Springer, Heidelberg (2008)
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    • Koschmider, A., Song, M., Reijers, H.A.: Social Software for Modeling Business Processes. In: Ardagna, D., et al. (eds.) BPM 2008 Workshops. LNBIP, 17, pp. 666-677. Springer, Heidelberg (2009)
    • Koschmider, A., Song, M., Reijers, H.A.: Social Software for Modeling Business Processes. In: Ardagna, D., et al. (eds.) BPM 2008 Workshops. LNBIP, vol. 17, pp. 666-677. Springer, Heidelberg (2009)
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  • 5
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    • Koschmider, A., Habryn, F., Gottschalk, F.: Real support for perspective-compliant business process design. In: Ardagna, D., et al. (eds.) BPM 2008 Workshops. LNBIP, 17, pp. 32-43. Springer, Heidelberg (2009)
    • Koschmider, A., Habryn, F., Gottschalk, F.: Real support for perspective-compliant business process design. In: Ardagna, D., et al. (eds.) BPM 2008 Workshops. LNBIP, vol. 17, pp. 32-43. Springer, Heidelberg (2009)
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    • Brickell, J., Shmatikov, V.: Privacy-preserving graph algorithms in the semi-honest model. In: Roy, B. (ed.) ASIACRYPT 2005. LNCS, vol. 3788, pp. 236-252. Springer, Heidelberg (2005)
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    • Changing patterns or patterns of change: The effect of a change in technology on social network structure and power
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.