<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<rss version="2.0">
  <channel>
    <title>Dissel, H.G. van</title>
    <link>http://repub.eur.nl/res/aut/384/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Combining expert knowledge and databases for risk management (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/266/</link>
      <pubDate>2003-01-10T00:00:00Z</pubDate>
      <description>Correctness, transparency and effectiveness are the principal
attributes of knowledge derived from databases. In current data mining
research there is a focus on efficiency improvement of algorithms for
knowledge discovery. However important limitations of data mining can
only be dissolved by the integration of knowledge of experts in the
field, encoded in some accessible way, with knowledge derived form
patterns in the database. In this paper we will in particular discuss
methods for combining expert knowledge and knowledge derived from
transaction databases.The framework proposed is applicable to wide
variety of risk management problems. We will illustrate the method in
a case study on fraud discovery in an insurance company.</description>
    </item> <item>
      <title>'Nut en nog eens nut'; Over retoriek, mythes en rituelen in informatiesysteemonderzoek (Inaugural Lecture)</title>
      <link>http://repub.eur.nl/res/pub/301/</link>
      <pubDate>2002-02-15T00:00:00Z</pubDate>
      <description>Rede, in verkorte vorm uitgesproken bij de aanvaardig van het ambt van hoogleraar aan de Faculteit der Bedrijfskunde met als leeropdracht Bedrijfskunde, in het bijzonder Informatie Management</description>
    </item>
  </channel>
</rss>