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View all- Yu SQing QZhang CShehzad AOatley GXia F(2021)Data-Driven Decision-Making in COVID-19 Response: A SurveyIEEE Transactions on Computational Social Systems10.1109/TCSS.2021.30759558:4(1016-1029)Online publication date: Aug-2021
Big Data Decision Making Based on Predictive Data Analysis Using DEVS Simulations
Pages 257 - 258
Abstract
Methods of processing and analyzing traditional data does not answer to the emergence of Big Data stemming from social networks and mobile applications. One of the best ways to bring the perspective of the customers to business decisions is by using data analysis to allow a company to deal with the customer experience for improved management and better profits. The work in progress presented in this paper concerns the development of an approach integrating discrete-event Modeling and Simulation and statistical learning methods in order to perform both customer understanding through data classification and predictive modeling through data prediction. This work involves the integration of statistical learning algorithms in the DEVS formalism.
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- Big Data Decision Making Based on Predictive Data Analysis Using DEVS Simulations
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Published In
June 2015
300 pages
ISBN:9781450335836
DOI:10.1145/2769458
- General Chair:
- Simon J.E. Taylor,
- Program Chairs:
- Navonil Mustafee,
- Young-Jun Son
Copyright © 2015 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Publication History
Published: 10 June 2015
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- Work in progress
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SIGSIM-PADS '15
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SIGSIM-PADS '15: SIGSIM Principles of Advanced Discrete Simulation
June 10 - 12, 2015
London, United Kingdom
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SIGSIM PADS '15 Paper Acceptance Rate 35 of 60 submissions, 58%;
Overall Acceptance Rate 398 of 779 submissions, 51%
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View all- Yu SQing QZhang CShehzad AOatley GXia F(2021)Data-Driven Decision-Making in COVID-19 Response: A SurveyIEEE Transactions on Computational Social Systems10.1109/TCSS.2021.30759558:4(1016-1029)Online publication date: Aug-2021
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