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Computational experimentations in market and supply-chain co-design: a mixed agent approach.

, , , and . Inf. Syst. E-Business Management, 4 (1): 25-48 (2006)

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Personalized Item Ranking from Implicit User feedback using Heterogeneous Information Network., , and . PACIS, page 308. (2016)A New Relevance Measure for Heterogeneous Networks., , and . DaWaK, volume 9263 of Lecture Notes in Computer Science, page 165-177. Springer, (2015)Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking., , and . CIKM, page 2087-2090. ACM, (2017)Computational experimentations in market and supply-chain co-design: a mixed agent approach., , , and . Inf. Syst. E-Business Management, 4 (1): 25-48 (2006)Agent-based Simulation Approach to Information Warfare in the SEAS Environment., , , and . HICSS, IEEE Computer Society, (2000)HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks., , and . Expert Syst. Appl., (2017)Comprehensive die-level assessment of design rules and layouts., , , , and . ASP-DAC, page 61-66. IEEE, (2014)The experimental analysis of information security management issues for online financial services., , , and . ICIS, page 667-675. Association for Information Systems, (2000)Clustering of Micro-Messages Using Similarity Upper Approximation., , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25 (1): 53-80 (2017)DPRel: A Meta-Path Based Relevance Measure for Mining Heterogeneous Networks., , and . Information Systems Frontiers, 21 (5): 979-995 (2019)