Four Decades of Data Mining in Network and Systems Management

Khamisi Kalegele, Kazuto Sasai, Hideyuki Takahashi, Gen Kitagata, Tetsuo Kinoshita

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

How has the interdisciplinary data mining field been practiced in Network and Systems Management (NSM)? In Science and Technology, there is a wide use of data mining in areas like bioinformatics, genetics, Web, and, more recently, astroinformatics. However, the application in NSM has been limited and inconsiderable. In this article, we provide an account of how data mining has been applied in managing networks and systems for the past four decades, presumably since its birth. We look into the field's applications in the key NSM activities - discovery, monitoring, analysis, reporting, and domain knowledge acquisition. In the end, we discuss our perspective on the issues that are considered critical for the effective application of data mining in the modern systems which are characterized by heterogeneity and high dynamism.

Original languageEnglish
Article number7095599
Pages (from-to)2700-2716
Number of pages17
JournalIEEE Transactions on Knowledge and Data Engineering
Volume27
Issue number10
DOIs
Publication statusPublished - 2015 Oct 1

Keywords

  • Data Mining
  • Machine Learning
  • Network and Systems Management

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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