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Volumn , Issue , 2009, Pages 664-672

Towards the automated inference of queueing network models from high-precision location tracking data

Author keywords

Data mining; Location tracking; Performance modelling; Queueing networks; RFID; Spatiotemporal data sets; UWB; Workflow induction

Indexed keywords

DATA HANDLING; DATA MINING; LOCATION; PIPELINES; QUEUEING THEORY; RADIO FREQUENCY IDENTIFICATION (RFID); TRACKING (POSITION);

EID: 80054970356     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.7148/2009-0664-0672     Document Type: Conference Paper
Times cited : (4)

References (13)
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    • H. Gonzalez, J. Han, and X. Li. Mining compressed commodity work-ows from massive RFID data sets. In CIKM '06: Proc. 15th ACM International Conference on Information and Knowledge Management, pages 162-171, New York, NY, USA, 2006b. ACM. (Pubitemid 47203563)
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    • DOI 10.1109/ICDE.2006.171, 1617451, Proceedings of the 22nd International Conference on Data Engineering, ICDE '06
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    • Comparing the use of bayesian networks and neural networks in response time modeling for service-oriented systems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.