%0 Conference Proceedings
%T Materialized View Construction Based on Clustering Technique
%+ Future Institute of Engineering and Management [Kolkata]
%+ University of Calcutta
%A Roy, Santanu
%A Ghosh, Ranak
%A Sen, Soumya
%Z Part 4: Data Analysis and Information Retrieval
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 254-265
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_25
%K Materialized View
%K Clustering
%K Jaccard Index
%K Attribute Similarity Matrix
%K Weighted graphs
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Materialized view is important to any data intensive system where answering queries at runtime is subject of interest. Users are not aware about the presence of materialized views in the system but the presence of these results in fast access to data and therefore optimized execution of queries. Many techniques have evolved over the period to construct materialized views. However the survey work reveals a few attempts to construct materialized views based on attribute similarity measure by statistical similarity function and thereafter applying the clustering techniques. In this paper we have proposed materialized view construction methodology at first by analyzing the attribute similarity based on Jaccard Index then clustering methodology is applied using similarity based weighted connected graph. Further the clusters are validated to check the correctness of the materialized views.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405594/document
%2 https://inria.hal.science/hal-01405594/file/978-3-662-45237-0_25_Chapter.pdf
%L hal-01405594
%U https://inria.hal.science/hal-01405594
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM