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MS in Business Analytics: Journal Articles

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Michelle Arnold

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BAN 500 Journal Articles

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Bi-objective optimisation for scheduling the identical parallel batch-processing machines with arbitrary job sizes, unequal job release times and capacity limits by Abedi, M.; Seidgar, H.; Fazlollahtabar, H.; and Bigani, R.
International Journal of Production Research. March 2015, Vol. 53 Issue 6, p 1680-1711. 32 p. 11 Diagrams, 22 Charts, 10 Graphs.
Minimising makespan in flowshop group scheduling with sequence-dependent family set-up times using inserted idle times by Neufeld, J.S.; Gupta, J.N.D; and Buscher, U.
International Journal of Production Research; March 2015, Vol. 53 Issue 6, p 1791-1806, 16 p, 4 Diagrams, 5 Charts
Mining patterns for clustering using unsupervised decision trees by Gutierrez-Rodríguez, A. E.; Martínez-Trinidad, J. Fco.; García-Borroto, M.; and Carrasco-Ochoa, J. A.
Intelligent Data Analysis. 2015, Vol. 19 Issue 6, p 1297-1310. 14 p.
Proposing the Multimotive Information Systems Continuance Model (MISC) to better explain end-user system evaluations and continuance intentions by Lowry, P.B.; Gaskin, J.E.; and Moody, G.D.
Journal of the Association for Information Systems. July 2015, Vol. 16 Issue 7, p 515-579. 65 p. 8 Diagrams, 19 Charts.
Resolving web services mismatch in mashup by Zhang, C.; Fu, W.; Sun, T.; and Ji, Y.
Wireless Personal Communications. February 2016, Vol. 86 Issue 4, p 1781-1796. 16 p.
A SAS/IML program using the Kalman filter for estimating state space models by Gu, Fei; Yung, Yiu-Fai.
Behavior Research Methods (Online)45.1 (Mar 2013): 38-53.
SAS-TDMA: a source aware scheduling algorithm for real-time communication in industrial wireless sensor networks by Shen, W.; Zhang, T.; Gidlund, M.; and Dobslaw, F.
Wireless Networks (10220038). August 2013, Vol. 19 Issue 6, p 1155-1170. 16 p.
SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients by Weaver, Bruce; Wuensch, Karl L.
Behavior Research Methods (Online)45.3 (Sep 2013): 880-95.
Two methodologies for predicting patent litigation outcomes: Logistic regression versus classification trees by Cowert, T.W.; Lirely, R.; and Avery, S.
American Business Law Journal. Winter 2014, Vol. 51 Issue 4, p 843-877. 35 p.
Using mathematical programming for marketing plan optimization by Bramorski, Tom
Journal of Business Case Studies (Online)9.1 (2013): 23.