Bootstrap aggregative mean shift clustering for big data anti-pattern detection analytics in 5G/6G communication networks

•Identify anti-patterns in SQL query log database.•Minimize false-positive rate while detecting anti-patterns.•Improve the performance of anti-patterns detection with a minimal false-positive rate.•Identify anti-patterns efficiently with minimum time and false-positive rate.•Reduce the space complex...

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Bibliographic Details
Published in:	Computers & electrical engineering Vol. 95; p. 107380
Main Authors:	Ramakrishnan, Vinothsaravanan, Chenniappan, Palanisamy, Dhanaraj, Rajesh Kumar, Hsu, Ching-Hsien, Xiao, Yingyuan, Al-Turjman, Fadi
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Ltd 01.10.2021 Elsevier BV
Subjects:	5G mobile communication Anti-patterns Big Data Bootstrap aggregation Clustering Communication networks Complexity Data analysis Majority voting Mean-shift clustering Pattern analysis Query languages SQL query log Strong cluster SQL query log Strong cluster Anti-patterns Big data Bootstrap aggregation Clustering Mean-shift clustering Majority voting
ISSN:	0045-7906, 1879-0755
Online Access:	Get full text
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