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Conference Paper A Case Study on Web-based Analytic Workflow in Big Data Platform
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Authors
Minh Chau Nguyen, Hee Sun Won
Issue Date
2016-12
Citation
International Conference on Computational Science and Computational Intelligence (CSCI) 2016, pp.427-430
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/CSCI.2016.0087
Abstract
In the recent years, many new big data systems have been invented to improve different issues related to process a large amount of data. Nevertheless, the use of these systems to solve particular problems, especially in domains sensitive to safety, privacy and accuracy, is still limited due to unfriendly interface designs, complicated configurations and poor security management mechanism. Thus, we propose here a web-based analytic workflow system to allow end-users to use easily their desired analytic functions to solve specific problems in different domains. Moreover, our system can enable safe sharing and guarantee the security as well as process automation. We also conduct a case study to verify the validation and practice use of our system.
KSP Keywords
Analytic function, Big Data System, Big data platform, Case studies, Different domains, End users, Management mechanism, Process Automation, Security Management, Workflow systems, analytic workflow