IEICE TRANSACTIONS on Information
An Association Rule Based Grid Resource Discovery Method
Summary :
There are a great amount of various resources described in many different ways for service oriented grid environment, while traditional grid resource discovery methods could not fit more complex future grid system. Therefore, this paper proposes a novel grid resource discovery method based on association rule hypergraph partitioning algorithm which analyzes user behavior in history transaction records to provide personality service for user. And this resource discovery method gives a new way to improve resource retrieval and management in grid research.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.4 pp.913-916
- Publication Date
- 2011/04/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.913
- Type of Manuscript
- LETTER
- Category
- Computer System
Authors
Keyword
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Yuan LIN, Siwei LUO, Guohao LU, Zhe WANG, "An Association Rule Based Grid Resource Discovery Method" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 4, pp. 913-916, April 2011, doi: 10.1587/transinf.E94.D.913.
Abstract: There are a great amount of various resources described in many different ways for service oriented grid environment, while traditional grid resource discovery methods could not fit more complex future grid system. Therefore, this paper proposes a novel grid resource discovery method based on association rule hypergraph partitioning algorithm which analyzes user behavior in history transaction records to provide personality service for user. And this resource discovery method gives a new way to improve resource retrieval and management in grid research.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.913/_p
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@ARTICLE{e94-d_4_913,
author={Yuan LIN, Siwei LUO, Guohao LU, Zhe WANG, },
journal={IEICE TRANSACTIONS on Information},
title={An Association Rule Based Grid Resource Discovery Method},
year={2011},
volume={E94-D},
number={4},
pages={913-916},
abstract={There are a great amount of various resources described in many different ways for service oriented grid environment, while traditional grid resource discovery methods could not fit more complex future grid system. Therefore, this paper proposes a novel grid resource discovery method based on association rule hypergraph partitioning algorithm which analyzes user behavior in history transaction records to provide personality service for user. And this resource discovery method gives a new way to improve resource retrieval and management in grid research.},
keywords={},
doi={10.1587/transinf.E94.D.913},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - An Association Rule Based Grid Resource Discovery Method
T2 - IEICE TRANSACTIONS on Information
SP - 913
EP - 916
AU - Yuan LIN
AU - Siwei LUO
AU - Guohao LU
AU - Zhe WANG
PY - 2011
DO - 10.1587/transinf.E94.D.913
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2011
AB - There are a great amount of various resources described in many different ways for service oriented grid environment, while traditional grid resource discovery methods could not fit more complex future grid system. Therefore, this paper proposes a novel grid resource discovery method based on association rule hypergraph partitioning algorithm which analyzes user behavior in history transaction records to provide personality service for user. And this resource discovery method gives a new way to improve resource retrieval and management in grid research.
ER -
English
