A Distributed Dendritic Cell Algorithm for Big Data

Zaineb Chelly Dagdia

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

4 Citations (SciVal)
201 Downloads (Pure)

Abstract

In this work, we focus on the Dendritic Cell Algorithm (DCA), a bio-inspired classifier, and its limitation when coping with very large datasets. To overcome this limitation, we propose a novel distributed DCA version for data classification based on the MapReduce framework to distribute the functioning of this algorithm
through a cluster of computing elements. Our experimental results show that our proposed distributed solution is suitable to enhance the performance of the DCA enabling the algorithm to be applied over big data classification problems.
Original languageEnglish
Title of host publicationGECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
Subtitle of host publicationGECCO
PublisherAssociation for Computing Machinery
Pages103-104
Number of pages2
ISBN (Electronic)9781450357647
DOIs
Publication statusPublished - 06 Jul 2018
EventGECCO 2018: The Genetic and Evolutionary Computation Conference - Kyoto, Japan
Duration: 15 Jul 201819 Jul 2018
http://gecco-2018.sigevo.org

Conference

ConferenceGECCO 2018: The Genetic and Evolutionary Computation Conference
Country/TerritoryJapan
CityKyoto
Period15 Jul 201819 Jul 2018
Internet address

Keywords

  • Dendritic Cell Algorithm
  • Classification
  • Big Data
  • Distributed Processing
  • Scalability

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