Best resource recommendation for a stochastic process
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Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
International Information Institute Ltd. No. 509 Fujimi-Cho 6-64-3 Tachikawa City, Tokyo 190-0013
Abstract
The aim of this study was to develop an Artificial Neural Network's recommendation model for an online process using the complexity of load and performance of the resources. The proposed model investigate the resource performance using stochastic gradient decent method and probabilistic cost function for learning ranking function. The test result of CoSeLoG project is presented with accuracy of 72.856%. © 2016 International Information Institute.
Description
Keywords
Best resource, Cross organization process mining, Polynomial regression model, Resource behaviour
Citation
Information, 2016, 19, 10, pp. 4611-4615