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Multidimensional Analysis for Census Data by Applying Star Schema Model

http://hdl.handle.net/20.500.12678/0000005406
5fbae42a-7b24-43d2-b9d5-2dc7d064c664
7ece3a48-31e8-4ca3-a291-e87bf00cc06e
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Multidimensional Multidimensional Analysis for Census Data by Applying Star Schema Model.pdf (285 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title Multidimensional Analysis for Census Data by Applying Star Schema Model
Language en
Publication date 2017-11-01
Authors
Myint Myint Thein
Myint Myint Lwin
Aye Chan Mon
May Thu Aung
Description
In recent years, the high value of multidimensional data has been recognized in both the academic and business communities. Star schemas are the primary storage mechanism for multidimensional data that is to be queried efficiently. It supports relationships between fact and dimension tables and creating combination dimensions with a key, resulted to improve query performance for large quantities of data. This paper is presented for multidimensional data model, that is called star schema to store large amount of census data. This star schema can be used for business related queries on Census data for visualization report. This paper aims to enhance the interactive visualization process with more relevant operations for manipulation of various attributes by using the Pentaho Business Analytics (BA) Suite.
Keywords
Agglomerative, Census data, Clustering, K-means
Conference papers
ICAIT
1 November, 2017
1st International Conference on Advanced Information Technologies
MICT Park, Yangon, Myanmar
https://www.uit.edu.mm/icait-2017/
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