Credible Nearest Neighbor Query in Uncertain Network

GUO Changyou; ZHENG Xuefeng; GAO Xiulian

doi:10.11999/JEIT150748

Volume 38 Issue 4

Apr. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(4): 811-818

GUO Changyou, ZHENG Xuefeng, GAO Xiulian. Credible Nearest Neighbor Query in Uncertain Network[J]. Journal of Electronics & Information Technology, 2016, 38(4): 811-818. doi: 10.11999/JEIT150748

Citation:

GUO Changyou, ZHENG Xuefeng, GAO Xiulian. Credible Nearest Neighbor Query in Uncertain Network[J]. Journal of Electronics & Information Technology, 2016, 38(4): 811-818. doi: 10.11999/JEIT150748

GUO Changyou, ZHENG Xuefeng, GAO Xiulian. Credible Nearest Neighbor Query in Uncertain Network[J]. Journal of Electronics & Information Technology, 2016, 38(4): 811-818. doi: 10.11999/JEIT150748

Citation:

GUO Changyou, ZHENG Xuefeng, GAO Xiulian. Credible Nearest Neighbor Query in Uncertain Network[J]. Journal of Electronics & Information Technology, 2016, 38(4): 811-818. doi: 10.11999/JEIT150748

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Credible Nearest Neighbor Query in Uncertain Network

doi: 10.11999/JEIT150748 cstr: 32379.14.JEIT150748

1.
2.
(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China)

Funds:

The National Natural Science Foundation of China (61163025), The Project of Beijing Key Laboratory of Knowledge Engineering for Materials Science (Z121101002812005)

Received Date: 2015-06-23
Rev Recd Date: 2015-12-08
Publish Date: 2016-04-19

Abstract

Abstract

Uncertain factors are a common phenomenon in the real world; therefore, it is very meaningful to study on the trusted neighbor query under uncertain network conditions. This paper puts forwards a new solution. The uncertain network is modeled as uncertain weighed graph, and these definitions of the uncertain graph are given, such as sample graph, sample graph index, base network, length of feasible path and expected length of feasible path. Based on these the high-efficiency credible neighbor query algorithm for uncertain graph is put forward under constraint conditions. This algorithm is transforms the issue of neighbor query in the uncertain network equivalently to the issue of neighbor query in the base network. The theoretic analysis and experimental results show that the credible neighbor query algorithm proposed in the paper can solve the neighbor query problem in the environment of the uncertain network from non-deterministic perspective.
- Uncertain networks,
- Uncertain graph,
- Sample graph index,
- Credible distance,
- Basic networks

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References(21)

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