https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Jacobs_et_al_1998aJacobs et al 1998a - Revision history2026-07-27T05:46:03ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Jacobs_et_al_1998a&diff=184194&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 968534050 to Jacobs et al 1998a2021-01-25T10:20:04Z<p>Scipediacontent moved page <a href="/public/Draft_Content_968534050" class="mw-redirect" title="Draft Content 968534050">Draft Content 968534050</a> to <a href="/public/Jacobs_et_al_1998a" title="Jacobs et al 1998a">Jacobs et al 1998a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Jacobs_et_al_1998a&diff=184193&oldid=prevScipediacontent: Created page with " == Abstract == Expert systems for decision support have recently been successfully introduced in road transport management. These systems include knowledge on traffic proble..."2021-01-25T10:20:01Z<p>Created page with " == Abstract == Expert systems for decision support have recently been successfully introduced in road transport management. These systems include knowledge on traffic proble..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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Expert systems for decision support have recently been successfully introduced in road transport management. These systems include knowledge on traffic problem detection and alleviation. The paper describes experiments in automated acquisition of knowledge on traffic problem detection. The task is to detect road sections where a problem has occured (critical sections) from sensor data. It is necessary to use inductive logic programming (ILP) for this purpose as relational background knowledge on the road network is essential. Preliminary results show that ILP can be used to successfully learn to detect traffic problems.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://oa.upm.es/14247 http://oa.upm.es/14247]<br />
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* [https://link.springer.com/content/pdf/10.1007%2FBFb0026673.pdf https://link.springer.com/content/pdf/10.1007%2FBFb0026673.pdf]<br />
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* [https://lirias.kuleuven.be/handle/123456789/133593 https://lirias.kuleuven.be/handle/123456789/133593]<br />
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* [http://link.springer.com/content/pdf/10.1007/BFb0026673 http://link.springer.com/content/pdf/10.1007/BFb0026673],<br />
: [http://dx.doi.org/10.1007/bfb0026673 http://dx.doi.org/10.1007/bfb0026673]<br />
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* [http://oa.upm.es/14247 http://oa.upm.es/14247],<br />
: [https://link.springer.com/chapter/10.1007/BFb0026673 https://link.springer.com/chapter/10.1007/BFb0026673],<br />
: [https://dblp.uni-trier.de/db/conf/ecml/ecml98.html#DzeroskiJMM98 https://dblp.uni-trier.de/db/conf/ecml/ecml98.html#DzeroskiJMM98],<br />
: [https://rd.springer.com/chapter/10.1007/BFb0026673 https://rd.springer.com/chapter/10.1007/BFb0026673],<br />
: [https://trid.trb.org/view.aspx?id=510545 https://trid.trb.org/view.aspx?id=510545],<br />
: [https://academic.microsoft.com/#/detail/1561145889 https://academic.microsoft.com/#/detail/1561145889]<br />
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* [ ]</div>Scipediacontent