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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Moore, I.G. |
| Copyright Year | 1994 |
| Description | Author affiliation: Sch. of Comput. & Inf. Technol., Griffith Univ., Brisbane, Qld., Australia (Moore, I.G.) |
| Abstract | This paper details modelled concept formation phenomena, developed model components and preliminary results of a post-graduate research programme at Griffith University School of Computing and Information Technology. The concept learning model is original and general, and one potential application is as a new and powerful mineral exploration tool. To date, the model has been trialled on an Earth resource database of coal data. This paper extends the understanding of concept learning through a new model, concept learning physics, and applied mathematical formalism. A basis for multivariate knowledge discovery, further research and development is established. Its application adds value to databases through newly discovered theories, new digital knowledge products and intelligent access. Discovered theories improve decision-making with unprecedented hypothesis testing, prediction, logical deductions and explanations. |
| Starting Page | 372 |
| Ending Page | 376 |
| File Size | 438478 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780324048 |
| DOI | 10.1109/ANZIIS.1994.396991 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-11-29 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Minerals Prototypes Spatial databases Deductive databases Psychology Learning Artificial intelligence Crystallization Humans Information technology |
| Content Type | Text |
| Resource Type | Article |
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