A Structure-Based Clustering on LDAP Directory Information

TitleA Structure-Based Clustering on LDAP Directory Information
Publication TypeConference Paper
Year of Publication2008
AuthorsKoutsonikola, Vassiliki A., Athena Vakali, Antonios Mpalasas, and Michael Valavanis
EditorAn, Aijun, Stan Matwin, Zbigniew W. Ras, and Dominik Slezak
Book TitleISMIS
ISBN Number978-3-540-68122-9

LDAP directories have rapidly emerged as the essentialframework for storing a wide range of heterogeneous information undervarious applications and services. Increasing amounts of informationare being stored in LDAP directories imposing the need for efficientdata organization and retrieval. In this paper, we propose the LPAIR& LMERGE (LP-LM) hierarchical agglomerative clustering algorithmfor improving LDAP data organization. LP-LM merges a pair of clustersat each step, considering the LD-vectors, which represent the entries’structure. The clustering-based LDAP data organization enhances LDAPserver’s response times, under a specific query framework.


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