ProDA: An End-to-End Wavelet-Based OLAP System for Massive Datasets.
The article describes a system that employs wavelets to support exact, approximate, and progressive online analytical processing (OLAP) queries on large multidimensional datasets, while keeping update costs relatively low. OLAP tools support a range of complex analytical queries, unlike traditional...
| Publicado en: | Computer (00189162) Vol. 41; no. 4; pp. 69 - 78 |
|---|---|
| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Apr2008
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=31912725&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 31912725 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Apr2008 vid: 41 iid: 4 pid: 13605 pub: IEEE artinfo: ui: 31912725 10.1109/MC.2008.130 ppf: 69 ppct: 9 formats: tig: atl: ProDA: An End-to-End Wavelet-Based OLAP System for Massive Datasets. aug: au: Shahabi, Cyrus Jahangiri, Mehrdad Banaei-Kashani, Farnoush affil: University of Southern California su: Wavelets (Mathematics) OLAP technology Data mining Online data processing Data warehousing Multidimensional databases Databases QUERY (Information retrieval system) sug: subj: Wavelets (Mathematics) OLAP technology Data mining Online data processing Data warehousing Multidimensional databases Databases QUERY (Information retrieval system) ab: The article describes a system that employs wavelets to support exact, approximate, and progressive online analytical processing (OLAP) queries on large multidimensional datasets, while keeping update costs relatively low. OLAP tools support a range of complex analytical queries, unlike traditional databases. Meanwhile, progressive data analysis system (ProDA) supports a wide range of analytical queries while also being able to handle massive datasets. The authors used ProDA to analyze real-world data applications. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
|---|