Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.

Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.

Nowadays, the ideas of continuous integration and continuous delivery are under heavy usage in order to achieve rapid software development speed and quick product delivery to the customers with good quality. During the process ofmodern software development, the testing stage has always been with gre...

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Bibliographic Details
Main Author: Liu, Chang
Format: Others
Language:English
Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2016
Subjects:
Data analysis
Log analysis
RNN
Naive Bayes
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334

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