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Conference Paper: The design and implementation of an OLAP system for sequence data analysis

TitleThe design and implementation of an OLAP system for sequence data analysis
Authors
Issue Date2008
PublisherACM Press.
Citation
The 2nd SIGMOD PhD Workshop on Innovative Database Research (IDAR 2008), Vancouver, Canada, 9-12 June 2008. In the Proceedings of the 2nd SIGMOD PhD Workshop on Innovative Database Research (IDAR), 2008, p. 1-6 How to Cite?
AbstractWe design a novel online analytical processing system for sequence data analysis (the S-OLAP system). The biggest distinction of S-OLAP from traditional OLAP is that a sequence can be characterized not only by the attributes' values of its constituting items, but also by the subsequence/substring patterns it possesses. Traditional OLAP systems and techniques were not designed for sequence data and thus they are incapable of supporting sequence data analysis. This paper describes my Ph.D research on the design and implementation of the S-OLAP system. The proposed system is able to support 'pattern-based' grouping and aggregation, which is currently not supported by any OLAP system. The preliminary ideas, significant research issues as well as major challenges of this ongoing project are presented.
DescriptionSession: Data analysis & management
Persistent Identifierhttp://hdl.handle.net/10722/149188
ISBN

 

DC FieldValueLanguage
dc.contributor.authorChui, CKen_US
dc.date.accessioned2012-06-22T06:28:26Z-
dc.date.available2012-06-22T06:28:26Z-
dc.date.issued2008en_US
dc.identifier.citationThe 2nd SIGMOD PhD Workshop on Innovative Database Research (IDAR 2008), Vancouver, Canada, 9-12 June 2008. In the Proceedings of the 2nd SIGMOD PhD Workshop on Innovative Database Research (IDAR), 2008, p. 1-6en_US
dc.identifier.isbn9781605582115-
dc.identifier.urihttp://hdl.handle.net/10722/149188-
dc.descriptionSession: Data analysis & management-
dc.description.abstractWe design a novel online analytical processing system for sequence data analysis (the S-OLAP system). The biggest distinction of S-OLAP from traditional OLAP is that a sequence can be characterized not only by the attributes' values of its constituting items, but also by the subsequence/substring patterns it possesses. Traditional OLAP systems and techniques were not designed for sequence data and thus they are incapable of supporting sequence data analysis. This paper describes my Ph.D research on the design and implementation of the S-OLAP system. The proposed system is able to support 'pattern-based' grouping and aggregation, which is currently not supported by any OLAP system. The preliminary ideas, significant research issues as well as major challenges of this ongoing project are presented.-
dc.languageengen_US
dc.publisherACM Press.-
dc.relation.ispartofProceedings of the 2nd SIGMOD PhD Workshop on Innovative Database Research (IDAR 2008)en_US
dc.titleThe design and implementation of an OLAP system for sequence data analysisen_US
dc.typeConference_Paperen_US
dc.identifier.emailChui, CK: ckchui@cs.hku.hken_US
dc.identifier.doi10.1145/1410308.1410310-
dc.identifier.hkuros200231en_US
dc.identifier.spage1-
dc.identifier.epage6-
dc.publisher.placeNew York-

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