Automatically assigned DDC number: 00574

Manually assigned DDC number: 00574

Number of references: 30

Title: Datacube: Its Implementation and Application in OLAP Mining

Author:

Author:

Subject: Yin Jenny Tam,C Yin Jenny Tam Datacube: Its Implementation and Application in OLAP Mining

Description: With huge amounts of data collected in various kinds of applications, data warehouse is becoming a mainstream information repository for decision support and data analysis mainly because a data warehouse facilitates on-line analytical processing (OLAP). It is important to study methods for supporting data warehouses, in particular its OLAP operations, efficiently. In this thesis, we investigate efficient methods for computing datacubes and for using datacubes to support OLAP and data mining. Currently, there are two popular datacube technologies: Relational OLAP (ROLAP) and Multidimensional OLAP (MOLAP). Many efficient algorithms have been designed for ROLAP systems, but not so many for the MOLAP ones. MOLAP systems, though may suffer from sparsity of data, are generally more efficient than ROLAP systems when the sparse datacube techniques are explored or when the data sets are small to medium sized. We have developed a MOLAP system which combines nice features of both MOLAP and ROLAP....

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-09-26

Pubyear: 1998

Format: ps

Identifier: http://citeseer.ist.psu.edu/117082.html

Source: ftp://fas.sfu.ca/pub/cs/theses/1998/YinJennyTamMSc.ps.gz

Language: en

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