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Machine learning, data mining, and the World Wide Web : design of special-purpose search engines
Thesis (MSc)--Stellenbosch University, 2003.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2012
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| _version_ | 1867614139751333888 |
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| access_status_str | Open Access |
| author | Kruger, Andries F. |
| author2 | Omlin, Christian W. |
| author_browse | Kruger, Andries F. Omlin, Christian W. |
| author_facet | Omlin, Christian W. Kruger, Andries F. |
| author_sort | Kruger, Andries F. |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MSc)--Stellenbosch University, 2003. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/53492 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:47:17.937Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/53492 Machine learning, data mining, and the World Wide Web : design of special-purpose search engines Kruger, Andries F. Omlin, Christian W. Stellenbosch University. Faculty of Science. Department of Mathematical Sciences. Search engines Data mining Computer-assisted instruction Web sites -- Abstracting and indexing Machine learning DEADLINER Bayesian framework Thesis (MSc)--Stellenbosch University, 2003. ENGLISH ABSTRACT: We present DEADLINER, a special-purpose search engine that indexes conference and workshop announcements, and which extracts a range of academic information from the Web. SVMs provide an efficient and highly accurate mechanism for obtaining relevant web documents. DEADLINER currently extracts speakers, locations (e.g. countries), dates, paper submission (and other) deadlines, topics, program committees, abstracts, and affiliations. Complex and detailed searches are possible on these fields. The niche search engine was constructed by employing a methodology for rapid implementation of specialised search engines. Bayesian integration of simple extractors provides this methodology, that avoids complex hand-tuned text extraction methods. The simple extractors exploit loose formatting and keyword conventions. The Bayesian framework further produces a search engine where each user can control each fields false alarm rate in an intuitive and rigorous fashion, thus providing easy-to-use metadata. AFRIKAANSE OPSOMMING: Ons stel DEADLINER bekend: 'n soekmasjien wat konferensie en werkvergaderingsaankondigings katalogiseer en wat uiteindelik 'n wye reeks akademiese byeenkomsmateriaal sal monitor en onttrek uit die Web. DEAD LINER herken en onttrek tans sprekers, plekke (bv. landname), datums, o.a. sperdatums vir die inlewering van akademiese verrigtings, onderwerpe, programkomiteë, oorsigte of opsommings, en affiliasies. 'n Grondige soek is moontlik oor en deur hierdie velde. Die nissoekmasjien is gebou deur gebruik te maak van 'n metodologie vir die vinnige oprigting van spesialiteitsoekmasjiene. Die metodologie vermy komplekse instelling m.b.v. hande-arbeid van die teksuittreksels deur gebruik te maak van Bayesiese integrering van eenvoudige ontsluiters. Die ontsluiters buit dan styl- en gewoonte-sleutelwoorde uit. Die Bayesiese raamwerk skep hierdeur 'n soekmasjien wat gebruikers toelaat om elke veld se kans om verkeerd te kies op 'n intuïtiewe en deeglike manier te beheer. 2012-08-27T11:35:30Z 2012-08-27T11:35:30Z 2003-04 Thesis http://hdl.handle.net/10019.1/53492 en_ZA Stellenbosch University 1 v. (various pagings) : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Search engines Data mining Computer-assisted instruction Web sites -- Abstracting and indexing Machine learning DEADLINER Bayesian framework Kruger, Andries F. Machine learning, data mining, and the World Wide Web : design of special-purpose search engines |
| title | Machine learning, data mining, and the World Wide Web : design of special-purpose search engines |
| title_full | Machine learning, data mining, and the World Wide Web : design of special-purpose search engines |
| title_fullStr | Machine learning, data mining, and the World Wide Web : design of special-purpose search engines |
| title_full_unstemmed | Machine learning, data mining, and the World Wide Web : design of special-purpose search engines |
| title_short | Machine learning, data mining, and the World Wide Web : design of special-purpose search engines |
| title_sort | machine learning data mining and the world wide web design of special purpose search engines |
| topic | Search engines Data mining Computer-assisted instruction Web sites -- Abstracting and indexing Machine learning DEADLINER Bayesian framework |
| url | http://hdl.handle.net/10019.1/53492 |
| work_keys_str_mv | AT krugerandriesf machinelearningdataminingandtheworldwidewebdesignofspecialpurposesearchengines |