Prototypical design and implementation of an intelligent network data analysis tool collaborating with active information resource

Kazuto Sasai, Hideyuki Takahashi, Gen Kitagata, Tetsuo Kinoshita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The methodologies of data analysis such as data mining, statistical analysis and machine learning are important notion in the network management in order to deal with complex network structure and growing network threats. Although a number of analytics tools are available in present day, it is not easy to apply the tools for network management because the ordinal administrators do not have the professional knowledge about mathematics and statistics. To improve the knowledge problem of network management, in this paper, we propose an agent-based analysis support system for network data and its collaboration mechanism with autonomic network management system. The evaluation experiment using prototypical system shows that the system can reduce intellectual load of the analysis task of the users.

Original languageEnglish
Title of host publicationTrends in Applied Knowledge-Based Systems and Data Science - 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Proceedings
EditorsMoonis Ali, Hamido Fujita, Jun Sasaki, Masaki Kurematsu, Ali Selamat
PublisherSpringer-Verlag
Pages1007-1018
Number of pages12
ISBN (Print)9783319420066
DOIs
Publication statusPublished - 2016 Jan 1
Event29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016 - Morioka, Japan
Duration: 2016 Aug 22016 Aug 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9799
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016
CountryJapan
CityMorioka
Period16/8/216/8/4

Keywords

  • AIR-NMS
  • Data analysis
  • Multiagent system
  • Network data

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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