A New Algorithm for the Fuzziness of Alarms in Network Faults Diagnosis
2012 ◽
Vol 198-199
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pp. 1539-1544
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Keyword(s):
The alarm correlation analysis based on fuzzy association rules mining is the popular and cutting-edge field of the network fault diagnosis research. In the application environment of alarms in communication networks, a new algorithm of the fuzziness of alarms which is called FKMA (Fuzzy K-Means of Alarms algorithm) is proposed .During the process of fuzziness, there are two methods of sorting the center. Simulations are carried out to the comparison of the two methods. The fuzziness of alarms is effectively realized. And fuzzy association rules mining are achieved. The advantages and efficiency of FKMA are demonstrated by experiments.
2010 ◽
Vol 180
(16)
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pp. 2960-2978
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A LFP-tree based method for association rules mining in telecommunication alarm correlation analysis
2007 ◽
Vol 14
◽
pp. 6-15
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2011 ◽
Vol 13
(6)
◽
pp. 809-819
◽
2012 ◽
Vol 12
(8)
◽
pp. 2114-2122
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2014 ◽
Vol 998-999
◽
pp. 842-845
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2007 ◽
Vol 45
(6)
◽
pp. 1323-1353
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Keyword(s):