Incremental distributed weighted class discriminant analysis on interval-valued emitter parameters

Xin Xu, Wei Wang, Jiaheng Lu, Jin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the age of big data, the emitter parameter measurement data is generally characteristic of uncertainty in the form of normallydistributed intervals, enormous size and continuous growth. However, existing interval-valued data analysis methods generally assume a uniform distribution instead and are unable to adapt to the rapid growth of volume. To address the above problems, we have brought forward an incremental distributed weighted class discriminant analysis method on interval-valued emitter parameters. Extensive experiments indicate that our method is able to cope with these new characteristics effectively.

Original languageEnglish
Title of host publicationKnowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Proceedings
EditorsZili Zhang, Songmao Zhang, Zili Zhang, Martin Wirsing, Martin Wirsing, Martin Wirsing, Zili Zhang, Songmao Zhang, Songmao Zhang
Pages619-624
Number of pages6
DOIs
StatePublished - 2015
Event8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015 - Chongqing, China
Duration: Oct 28 2015Oct 30 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9403
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015
Country/TerritoryChina
CityChongqing
Period10/28/1510/30/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Keywords

  • Class discriminant analysis
  • Distributed computing
  • Emitter identification
  • Fuzzy pattern mining
  • Incremental learning
  • Signal processing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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