A Distributed Dendritic Cell Algorithm for Big Data

Zaineb Chelly Dagdia

doi:10.1145/3205651.3205701

A Distributed Dendritic Cell Algorithm for Big Data

Zaineb Chelly Dagdia

Adran Cyfrifiadureg

LARODEC - Institut Supérieur de Gestion de Tunis

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)

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224 Wedi eu Llwytho i Lawr (Pure)

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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.

Iaith wreiddiol	Saesneg
Teitl	GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
Is-deitl	GECCO
Cyhoeddwr	Association for Computing Machinery
Tudalennau	103-104
Nifer y tudalennau	2
ISBN (Electronig)	9781450357647
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1145/3205651.3205701
Statws	Cyhoeddwyd - 06 Gorff 2018
Digwyddiad	GECCO 2018: The Genetic and Evolutionary Computation Conference - Kyoto, Siapan Hyd: 15 Gorff 2018 → 19 Gorff 2018 http://gecco-2018.sigevo.org

Cynhadledd

Cynhadledd	GECCO 2018: The Genetic and Evolutionary Computation Conference
Gwlad/Tiriogaeth	Siapan
Dinas	Kyoto
Cyfnod	15 Gorff 2018 → 19 Gorff 2018
Cyfeiriad rhyngrwyd	http://gecco-2018.sigevo.org

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10.1145/3205651.3205701

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@inproceedings{ef2415e378dd418db7a0867bb5aaccf3,

title = "A Distributed Dendritic Cell Algorithm for Big Data",

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 algorithmthrough 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.",

keywords = "Dendritic Cell Algorithm, Classification, Big Data, Distributed Processing, Scalability",

author = "{Chelly Dagdia}, Zaineb",

note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; GECCO 2018: The Genetic and Evolutionary Computation Conference ; Conference date: 15-07-2018 Through 19-07-2018",

year = "2018",

month = jul,

day = "6",

doi = "10.1145/3205651.3205701",

language = "English",

pages = "103--104",

booktitle = "GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion",

publisher = "Association for Computing Machinery",

address = "United States of America",

url = "http://gecco-2018.sigevo.org",

}

Chelly Dagdia, Z 2018, A Distributed Dendritic Cell Algorithm for Big Data. yn GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion: GECCO. Association for Computing Machinery, tt. 103-104, GECCO 2018: The Genetic and Evolutionary Computation Conference, Kyoto, Siapan, 15 Gorff 2018. https://doi.org/10.1145/3205651.3205701

TY - GEN

T1 - A Distributed Dendritic Cell Algorithm for Big Data

AU - Chelly Dagdia, Zaineb

PY - 2018/7/6

Y1 - 2018/7/6

N2 - 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 algorithmthrough 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.

AB - 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 algorithmthrough 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.

KW - Dendritic Cell Algorithm

KW - Classification

KW - Big Data

KW - Distributed Processing

KW - Scalability

UR - http://www.scopus.com/inward/record.url?scp=85051545131&partnerID=8YFLogxK

U2 - 10.1145/3205651.3205701

DO - 10.1145/3205651.3205701

M3 - Conference Proceeding (Non-Journal item)

SP - 103

EP - 104

BT - GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

PB - Association for Computing Machinery

T2 - GECCO 2018: The Genetic and Evolutionary Computation Conference

Y2 - 15 July 2018 through 19 July 2018

ER -

A Distributed Dendritic Cell Algorithm for Big Data

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