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Authors: Liga Grundmane and Laila Niedrite

Affiliation: University of Latvia, Latvia

Keyword(s): Data Warehouse, Weights, Fact Granularity.

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: A typical data warehouse report is the dynamic representation of some objects’ behaviour or changes of objects’ properties. If this behaviour is changing, it is difficult to make such reports in an easy way. It is possible to use the fact splitting to make this task simpler and more comprehensible for users. In the presented paper two solutions of splitting facts by using weights are described. One of the possible solutions is to make the proportional weighting accordingly to splitted record set size. It is possible to take into account the length of the fact validity time period and the validity time for each splitted fact record.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Grundmane, L. and Niedrite, L. (2006). SPLITTING FACTS USING WEIGHTS. In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS; ISBN 978-972-8865-41-2; ISSN 2184-4992, SciTePress, pages 253-258. DOI: 10.5220/0002447402530258

@conference{iceis06,
author={Liga Grundmane. and Laila Niedrite.},
title={SPLITTING FACTS USING WEIGHTS},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS},
year={2006},
pages={253-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002447402530258},
isbn={978-972-8865-41-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 4: ICEIS
TI - SPLITTING FACTS USING WEIGHTS
SN - 978-972-8865-41-2
IS - 2184-4992
AU - Grundmane, L.
AU - Niedrite, L.
PY - 2006
SP - 253
EP - 258
DO - 10.5220/0002447402530258
PB - SciTePress