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Conference Paper: S-OLAP: an OLAP system for analyzing sequence data

TitleS-OLAP: an OLAP system for analyzing sequence data
Authors
Chui, CKKao, BLo, ECheung, D
KeywordsOLAP system
Sequence data
Exploratory analysis
Graphical interface
Online analytical processing systems
Issue Date2010
PublisherAssociation for Computing Machinery, Inc. The Journal's web site is located at http://www.acm.org/sigmod
Citation
The ACM SIGMOD International Conference on Management of Data (SIGMOD/PODS '10), Indianapolis, IN., 6-11 June, 2010. In Proceedings of SIGMOD/PODS, 2010, p. 1131-1134 How to Cite?
DOI: http://dx.doi.org/10.1145/1807167.1807299
AbstractThe Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems. It also supports several new OLAP operations that are specific to sequence data analysis. The query processing techniques documented in [1] have been implemented in our S-OLAP engine for efficient query processing. The system also provides users with a friendly graphical interface for query construction and result visualization. Query parameters can be interactively refined and the results are updated in real-time so as to facilitate the exploratory analysis of sequence data. Copyright 2010 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/125714
ISBN
978-1-4503-0032-2
ISSN
0730-8078
2020 SCImago Journal Rankings: 0.949
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChui, CKen_HK
dc.contributor.authorKao, Ben_HK
dc.contributor.authorLo, Een_HK
dc.contributor.authorCheung, Den_HK
dc.date.accessioned2010-10-31T11:47:38Z-
dc.date.available2010-10-31T11:47:38Z-
dc.date.issued2010en_HK
dc.identifier.citationThe ACM SIGMOD International Conference on Management of Data (SIGMOD/PODS '10), Indianapolis, IN., 6-11 June, 2010. In Proceedings of SIGMOD/PODS, 2010, p. 1131-1134en_HK
dc.identifier.isbn978-1-4503-0032-2-
dc.identifier.issn0730-8078en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125714-
dc.description.abstractThe Sequence OLAP (S-OLAP) system is a novel online analytical processing system for analyzing sequence data. S-OLAP supports "pattern-based" grouping and aggregation on sequence data - a very powerful concept and capability that is not supported by traditional OLAP systems. It also supports several new OLAP operations that are specific to sequence data analysis. The query processing techniques documented in [1] have been implemented in our S-OLAP engine for efficient query processing. The system also provides users with a friendly graphical interface for query construction and result visualization. Query parameters can be interactively refined and the results are updated in real-time so as to facilitate the exploratory analysis of sequence data. Copyright 2010 ACM.en_HK
dc.languageengen_HK
dc.publisherAssociation for Computing Machinery, Inc. The Journal's web site is located at http://www.acm.org/sigmoden_HK
dc.relation.ispartofAssociation for Computing Machinery. Special Interest Group on Management of Data. International Conference Proceedingsen_HK
dc.rightsAssociation for Computing Machinery Special Interest Group on Management of Data International Conference Proceedings. Copyright © Association for Computing Machinery, Inc.-
dc.subjectOLAP systemen_HK
dc.subjectSequence dataen_HK
dc.subjectExploratory analysis-
dc.subjectGraphical interface-
dc.subjectOnline analytical processing systems-
dc.titleS-OLAP: an OLAP system for analyzing sequence dataen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0730-8078&volume=&spage=1131&epage=1134&date=2010&atitle=S-OLAP:+An+OLAP+system+for+analyzing+sequence+data-
dc.identifier.emailKao, B:kao@cs.hku.hken_HK
dc.identifier.emailCheung, D:dcheung@cs.hku.hken_HK
dc.identifier.authorityKao, B=rp00123en_HK
dc.identifier.authorityCheung, D=rp00101en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1145/1807167.1807299en_HK
dc.identifier.scopuseid_2-s2.0-77954691041en_HK
dc.identifier.hkuros171743en_HK
dc.identifier.hkuros200229-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77954691041&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1131en_HK
dc.identifier.epage1134en_HK
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe ACM SIGMOD International Conference on Management of Data (SIGMOD/PODS '10), Indianapolis, IN., 6-11 June, 2010. In Proceedings of SIGMOD/PODS, 2010, p. 1131-1134-
dc.identifier.scopusauthoridChui, CK=21741958100en_HK
dc.identifier.scopusauthoridKao, B=35221592600en_HK
dc.identifier.scopusauthoridLo, E=14028731900en_HK
dc.identifier.scopusauthoridCheung, D=34567902600en_HK
dc.identifier.issnl0730-8078-

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