Infobright for analyzing social sciences data
| dc.contributor.author | Johnson, J. | |
| dc.contributor.author | Johnson, Genevieve | |
| dc.date.accessioned | 2017-01-30T12:47:37Z | |
| dc.date.available | 2017-01-30T12:47:37Z | |
| dc.date.created | 2016-09-12T08:36:32Z | |
| dc.date.issued | 2009 | |
| dc.identifier.citation | Johnson, J. and Johnson, G. 2009. Infobright for analyzing social sciences data, pp. 90-98. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/25260 | |
| dc.identifier.doi | 10.1007/978-3-642-10583-8_12 | |
| dc.description.abstract |
There are considerable challenges in analyzing, interpreting, and reporting word-based social sciences data. Infobright data warehousing technology was used to analyze a typical data set from the social sciences. Infobright was found to require augmentation for analyzing qualitative data provided as short stories by human subjects. A requirements specification for mining data that are subject to interpretation is proposed and left to the Infobright designers to implement should they so choose. Infobright was chosen as a system for implementing the data set because its rough set based intelligence appears to be extensible with moderate effort to implement the data warehousing requirements of word based data. © 2009 Springer-Verlag Berlin Heidelberg. | |
| dc.title | Infobright for analyzing social sciences data | |
| dc.type | Conference Paper | |
| dcterms.source.volume | 64 | |
| dcterms.source.startPage | 90 | |
| dcterms.source.endPage | 98 | |
| dcterms.source.title | Communications in Computer and Information Science | |
| dcterms.source.series | Communications in Computer and Information Science | |
| dcterms.source.isbn | 9783642105821 | |
| curtin.department | School of Education | |
| curtin.accessStatus | Fulltext not available |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||