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Modeling and Querying Business Data with Artifact Lifecycle
Joint Authors
Huang, Dong-Mei
Zhao, Danfeng
Zhao, Wei
Sun, Le
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Business data has been one of the current and future research frontiers, with such big data characteristics as high-volume, high-velocity, high-privacy, and so forth.
Most corporations view their business data as a valuable asset and make efforts on the development and optimal utilization on these data.
Unfortunately, data management technology at present has been lagging behind the requirements of business big data era.
Based on previous business process knowledge, a lifecycle of business data is modeled to achieve consistent description between the data and processes.
On this basis, a business data partition method based on user interest is proposed which aims to get minimum number of interferential tuples.
Then, to balance data privacy and data transmission cost, our strategy is to explore techniques to execute SQL queries over encrypted business data, split the computations of queries across the server and the client, and optimize the queries with syntax tree.
Finally, an instance is provided to verify the usefulness and availability of the proposed method.
American Psychological Association (APA)
Zhao, Danfeng& Zhao, Wei& Sun, Le& Huang, Dong-Mei. 2015. Modeling and Querying Business Data with Artifact Lifecycle. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074000
Modern Language Association (MLA)
Zhao, Danfeng…[et al.]. Modeling and Querying Business Data with Artifact Lifecycle. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074000
American Medical Association (AMA)
Zhao, Danfeng& Zhao, Wei& Sun, Le& Huang, Dong-Mei. Modeling and Querying Business Data with Artifact Lifecycle. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074000
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074000