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Authors: Anis Ismail 1 ; Mohammad Hajjar 1 ; Mohamed Quafafou 2 ; Nicolas Durand 2 and Mazen El Sayed 1

Affiliations: 1 Lebanese University, Lebanon ; 2 Domaine Universitaire de Saint-Jérôme, France

ISBN: 978-989-8565-59-4

Keyword(s): Ecclat, Hypergraphs, Mtminer, P2P Network, Query Routing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Distributed Database Systems ; Enterprise Information Systems ; Query Languages and Query Processing ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Peer-to-peer overlay networks offer a flexible architecture for decentralized data sharing. In P2P schema-based systems, each peer is a database management system in itself, ex-posing its own schema. In such a case, the main objective is the efficient search across peer databases by processing each incoming query without overly consuming bandwidth. The usability of these systems depends on efficient and effective routing of content-based queries is an emerging problem in P2P networks. This work was attended to motivate the use of mining algorithms in the P2P context to improve the efficiency of such methods. Our proposed method combines clustering and hypergraphs. We use ECCLAT to build approximate clustering and discovering meaningful clusters with slight overlapping. We use the algorithm MTMINER to extract all minimal transversals of a hypergraph (clusters) for query routing. The set of clusters improves the robustness in queries routing mechanism and scalability in P2P Network. Our experimental results prove that our method generates impressive levels of performance and scalability with respect to important criteria such as response time, precision and recall. (More)

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Paper citation in several formats:
Ismail, A.; Hajjar, M.; Quafafou, M.; Durand, N. and El Sayed, M. (2013). Clustering using Hypergraph for P2P Query Routing - Simulation and Evaluation.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 247-254. DOI: 10.5220/0004452302470254

@conference{iceis13,
author={Anis Ismail. and Mohammad Hajjar. and Mohamed Quafafou. and Nicolas Durand. and Mazen El Sayed.},
title={Clustering using Hypergraph for P2P Query Routing - Simulation and Evaluation},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={247-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004452302470254},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Clustering using Hypergraph for P2P Query Routing - Simulation and Evaluation
SN - 978-989-8565-59-4
AU - Ismail, A.
AU - Hajjar, M.
AU - Quafafou, M.
AU - Durand, N.
AU - El Sayed, M.
PY - 2013
SP - 247
EP - 254
DO - 10.5220/0004452302470254

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