Text Mining and Its Applications

  • Guo S
  • Cao B
N/ACitations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

As nowadays data centers are processing more jobs and collecting more data, the system status monitoring and analyzing functionality ensuring the availability, scalability and efficiency becomes more and more important. In order to build an automated status monitoring and alerting system, we need to group jobs performed at a data center upon jobs' characteristics. Since the job names are generated by system users at will, it is very hard to group them in order to monitor the job status efficiently. Thus we need to find some methods to sort out the system log, and help to group jobs that are beneficial for improving the accuracy and efficiency of the system analysis. This paper proposes a text mining algorithm and its application in grouping jobs for log analysis.

Cite

CITATION STYLE

APA

Guo, S., & Cao, B. (2015). Text Mining and Its Applications. In Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication (Vol. 16). Atlantis Press. https://doi.org/10.2991/csic-15.2015.17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free