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- Publisher Website: 10.1145/1410308.1410310
- Scopus: eid_2-s2.0-78650760845
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Conference Paper: The design and implementation of an OLAP system for sequence data analysis
| Title | The design and implementation of an OLAP system for sequence data analysis |
|---|---|
| Authors | |
| Issue Date | 2008 |
| Publisher | ACM 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? |
| Abstract | We 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. |
| Description | Session: Data analysis & management |
| Persistent Identifier | http://hdl.handle.net/10722/149188 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chui, CK | en_US |
| dc.date.accessioned | 2012-06-22T06:28:26Z | - |
| dc.date.available | 2012-06-22T06:28:26Z | - |
| dc.date.issued | 2008 | en_US |
| dc.identifier.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 | en_US |
| dc.identifier.isbn | 9781605582115 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/149188 | - |
| dc.description | Session: Data analysis & management | - |
| dc.description.abstract | We 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.language | eng | en_US |
| dc.publisher | ACM Press. | - |
| dc.relation.ispartof | Proceedings of the 2nd SIGMOD PhD Workshop on Innovative Database Research (IDAR 2008) | en_US |
| dc.title | The design and implementation of an OLAP system for sequence data analysis | en_US |
| dc.type | Conference_Paper | en_US |
| dc.identifier.email | Chui, CK: ckchui@cs.hku.hk | en_US |
| dc.identifier.doi | 10.1145/1410308.1410310 | - |
| dc.identifier.scopus | eid_2-s2.0-78650760845 | - |
| dc.identifier.hkuros | 200231 | en_US |
| dc.identifier.spage | 1 | - |
| dc.identifier.epage | 6 | - |
| dc.publisher.place | New York | - |