Benson, Vladlena ORCID: https://orcid.org/0000-0001-5940-0525 (2005) Decision making on operational data: a remote approach to distributed data monitoring. In: Sixth International Conference on Data Mining, 25-27 May 2005, Skiathos, Greece.

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Abstract

Information gathering and assimilation is normally performed by data mining tools and Online analytic processing (OLAP) operating on historic data stored in a data warehouse. Data mining and OLAP queries are very complex, access a significant fraction of a database and require significant time and resources to be executed. Therefore, it has been impossible to draw the data analysis benefits in operational data environments. When it comes to analysis of operational (dynamic) data, running complex queries on frequently changing data is next to impossible. The complexity of active data integration increases dramatically in distributed applications which are very common in automated or e-commerce applications.

We suggest a remote data analysis approach to find hidden patterns and relationships in distributed operational data, which does not adversely affect routine transaction processing. Distributed data integration on frequently updated data has been performed by analysing SQL commands coming to the distributed databases and aggregating data centrally to produce a real-time view of fast changing data. This approach has been successfully evaluated on data sources for over 30 data sources for hotel properties. This paper presents the performance results of the method, and its comparative study of the state-of-the art data integration techniques. The remote approach to data integration and analysis has been built into a scalable data monitoring system. It demonstrates the ease of application and performance results of operational data integration.

Item Type:	Conference or Workshop Item (Paper)
ISSN:	1743-3517
ISBN:	1845640179
Identifier:	10.2495/DATA050061
Page Range:	pp. 55-62
Identifier:	10.2495/DATA050061
Additional Information:	© 2005 WIT Press
Keywords:	database applications, distributed data, online analysis processing, data mining, SQL
Subjects:	Computing > Systems Computing Business and finance
Depositing User:	Vladlena Benson
Date Deposited:	11 May 2011 14:12
Last Modified:	28 Aug 2021 07:24
URI:	https://repository.uwl.ac.uk/id/eprint/3902

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