Research on abnormal data processing method in intelligent data adapter based on bayesian network

DOI

10.2991/icsem.2013.169How to use a DOI?

Keywords

Bayesian Network, Junction Tree Reasoning, Heterogeneous data processing, Data Mining, Probability Inference

Abstract

This paper put forward a bayesian network junction tree reasoning and rule reasoning hybrid algorithm to solve the adaptation problem in Public Data Center of heterogeneous system, based on the research in intelligent data processing method. Using adapter’s dynamic data monitoring function, first, pick out all abnormal data. then, apply the hybrid algorithm on the abnormal data. finally, recover the abnormal data and report abnormal processing result. This method has been applied to many domestic universities’s intelligent data exchange system in the Public Data Center. Through practice, this algorithm can effectively improve the reliability and integrity in heterogeneous data exchange system, and obtained good application effect.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ping Hao
AU  - Bin-li Lu
PY  - 2013/04
DA  - 2013/04
TI  - Research on abnormal data processing method in intelligent data adapter based on bayesian network
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 820
EP  - 825
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.169
DO  - 10.2991/icsem.2013.169
ID  - Hao2013/04
ER  -