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| dc.contributor.author |
de Waal, A
|
|
| dc.date.accessioned | 2009-01-15T09:51:42Z | |
| dc.date.available | 2009-01-15T09:51:42Z | |
| dc.date.issued | 2006-06 | |
| dc.identifier.citation | De Waal A. 2006. Evolution of bayesian-related research over time: a temporal text mining task. ISBA 8th world meeting on Bayesian statistics, Valencia 2006, pp 17 | en |
| dc.identifier.uri | http://hdl.handle.net/10204/2818 | |
| dc.description | Edited by the Conference Programme Committee, Bayesian Statistics 8, the Valencia 8 conference proceedings, have beeen published in September 2007 by Oxford University Press | en |
| dc.description.abstract | The aim of this study is to evaluate the discovery of temporal themes in a text stream. The authors evaluate a probabilistic model for unsupervised learning to solve the problem and a scheme for theme evolution visualisation is proposed. The proposed methods will be evaluated on a collection of Bayesian Analysis abstracts (www.bayesian.org). The output will be a temporal summary of Bayesian related research themes and how they evolve over time, captured in a graph | en |
| dc.language.iso | en | en |
| dc.publisher | Oxford University Press | en |
| dc.subject | Temporal text mining | en |
| dc.subject | Bayesian analysis | en |
| dc.subject | TTM | |
| dc.title | Evolution of bayesian-related research over time: a temporal text mining task | en |
| dc.type | Conference Presentation | en |
| dc.identifier.apacitation | de Waal, A. (2006). Evolution of bayesian-related research over time: a temporal text mining task. Oxford University Press. http://hdl.handle.net/10204/2818 | en_ZA |
| dc.identifier.chicagocitation | de Waal, A. "Evolution of bayesian-related research over time: a temporal text mining task." (2006): http://hdl.handle.net/10204/2818 | en_ZA |
| dc.identifier.vancouvercitation | de Waal A, Evolution of bayesian-related research over time: a temporal text mining task; Oxford University Press; 2006. http://hdl.handle.net/10204/2818 . | en_ZA |
| dc.identifier.ris | TY - Conference Presentation AU - de Waal, A AB - The aim of this study is to evaluate the discovery of temporal themes in a text stream. The authors evaluate a probabilistic model for unsupervised learning to solve the problem and a scheme for theme evolution visualisation is proposed. The proposed methods will be evaluated on a collection of Bayesian Analysis abstracts (www.bayesian.org). The output will be a temporal summary of Bayesian related research themes and how they evolve over time, captured in a graph DA - 2006-06 DB - ResearchSpace DP - CSIR KW - Temporal text mining KW - Bayesian analysis KW - TTM LK - https://researchspace.csir.co.za PY - 2006 T1 - Evolution of bayesian-related research over time: a temporal text mining task TI - Evolution of bayesian-related research over time: a temporal text mining task UR - http://hdl.handle.net/10204/2818 ER - | en_ZA |
