A method for dinamically creating data cube structures

Author

Vanea, Andrei ; Potolea, Rodica

Author_Institution

Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2011

fDate

25-27 Aug. 2011

Firstpage

3

Lastpage

10

Abstract

Aggregated data has the potential to offer great knowledge which can help decision makers in their most important activities. One method of viewing aggregated data is structuring it in data cubes. The data warehouse users are often specialists in the domain in which the data warehouse is being deployed and do not have a clear understanding of the data cube structure and what it can offer. We present a dynamic method for creating data cube structures, based on the dynamic analysis of the queries submitted by the data warehouse users and on domain knowledge. The created data cube structures are returned to the users as suggestions for viewing the existing data.

Keywords

data mining; data structures; data warehouses; decision making; query processing; data aggregation; data warehouse; decision maker; domain knowledge; dynamic data cube structure creation method; dynamic query analysis; Data mining; Data warehouses; Instruction sets; Medical diagnostic imaging; Multimedia communication; Ontologies; Data warehouse; OLAP; data cubes;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computer Communication and Processing (ICCP), 2011 IEEE International Conference on

Conference_Location

Cluj-Napoca

Print_ISBN

978-1-4577-1479-5

Electronic_ISBN

978-1-4577-1481-8

Type

conf

DOI

10.1109/ICCP.2011.6047837

Filename

6047837