Powerful tool to expand business intelligence: Text mining
With the extensive inclusion of document, especially text, in the business systems, data mining does not cover the full scope of Business Intelligence. Data mining cannot deliver its impact on extracting useful details from the large collection of unstructured and semi-structured written materials b...
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| Other Authors: | |
| Format: | Conference Paper |
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International Academy of Sciences
2005
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/17233 |
| _version_ | 1848749409327644672 |
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| author | Gao, L. Chang, Elizabeth Han, Song |
| author2 | Ardil, C. |
| author_facet | Ardil, C. Gao, L. Chang, Elizabeth Han, Song |
| author_sort | Gao, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | With the extensive inclusion of document, especially text, in the business systems, data mining does not cover the full scope of Business Intelligence. Data mining cannot deliver its impact on extracting useful details from the large collection of unstructured and semi-structured written materials based on natural languages. The most pressing issue is to draw the potential business intelligence from text. In order to gain competitive advantages for the business, it is necessary to develop the new powerful tool, text mining, to expand the scope of business intelligence. In this paper, we will work out the strong points of text mining in extracting business intelligence from huge amount of textual information sources within business systems. We will apply text mining to each stage of Business Intelligence systems to prove that text mining is the powerful tool to expand the scope of BI. After reviewing basic definitions and some related technologies, we will discuss the relationship and the benefits of these to text mining. Some examples and applications of text mining will also be given. The motivation behind is to develop new approach to effective and efficient textual information analysis. Thus we can expand the scope of Business Intelligence using the powerful tool, text mining. |
| first_indexed | 2025-11-14T07:20:29Z |
| format | Conference Paper |
| id | curtin-20.500.11937-17233 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:20:29Z |
| publishDate | 2005 |
| publisher | International Academy of Sciences |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-172332017-05-30T08:05:44Z Powerful tool to expand business intelligence: Text mining Gao, L. Chang, Elizabeth Han, Song Ardil, C. business intelligence data mining text mining document warehouse powerful tool information systems With the extensive inclusion of document, especially text, in the business systems, data mining does not cover the full scope of Business Intelligence. Data mining cannot deliver its impact on extracting useful details from the large collection of unstructured and semi-structured written materials based on natural languages. The most pressing issue is to draw the potential business intelligence from text. In order to gain competitive advantages for the business, it is necessary to develop the new powerful tool, text mining, to expand the scope of business intelligence. In this paper, we will work out the strong points of text mining in extracting business intelligence from huge amount of textual information sources within business systems. We will apply text mining to each stage of Business Intelligence systems to prove that text mining is the powerful tool to expand the scope of BI. After reviewing basic definitions and some related technologies, we will discuss the relationship and the benefits of these to text mining. Some examples and applications of text mining will also be given. The motivation behind is to develop new approach to effective and efficient textual information analysis. Thus we can expand the scope of Business Intelligence using the powerful tool, text mining. 2005 Conference Paper http://hdl.handle.net/20.500.11937/17233 International Academy of Sciences fulltext |
| spellingShingle | business intelligence data mining text mining document warehouse powerful tool information systems Gao, L. Chang, Elizabeth Han, Song Powerful tool to expand business intelligence: Text mining |
| title | Powerful tool to expand business intelligence: Text mining |
| title_full | Powerful tool to expand business intelligence: Text mining |
| title_fullStr | Powerful tool to expand business intelligence: Text mining |
| title_full_unstemmed | Powerful tool to expand business intelligence: Text mining |
| title_short | Powerful tool to expand business intelligence: Text mining |
| title_sort | powerful tool to expand business intelligence: text mining |
| topic | business intelligence data mining text mining document warehouse powerful tool information systems |
| url | http://hdl.handle.net/20.500.11937/17233 |