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Author: Frédéric Dambreville

Affiliation: Ensta Bretagne and DGA MI, France

ISBN: 978-989-758-193-9

Keyword(s): Belief Functions, Combination Rules, Statistic, Map-reduce.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Data Engineering ; Data Management and Quality ; Management of Sensor Data ; Statistics Exploratory Data Analysis

Abstract: This paper presents a generic and versatile approach for implementing combining rules on preprocessed belief functions, issuing from a large population of information sources. In this paper, we address two issues, which are the intrinsic complexity of the rules processing, and the possible large amount of requested combinations. We present a fully distributed approach, based on a map-reduce (Spark) implementation.

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Paper citation in several formats:
Dambreville, F. (2016). Map-reduce Implementation of Belief Combination Rules.In Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-193-9, pages 144-149. DOI: 10.5220/0005987001440149

@conference{data16,
author={Frédéric Dambreville.},
title={Map-reduce Implementation of Belief Combination Rules},
booktitle={Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2016},
pages={144-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005987001440149},
isbn={978-989-758-193-9},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Map-reduce Implementation of Belief Combination Rules
SN - 978-989-758-193-9
AU - Dambreville, F.
PY - 2016
SP - 144
EP - 149
DO - 10.5220/0005987001440149

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