News from the Artificial Intelligence Group

Special Issue on Sustainability of the Data Mining and Knowledge Discovery Journa (Weiter...  )

Bringing together embedded systems and data mining enables new solutions in computer science, bio medicine, physics and mechanical engineering. Embedded system can be further improved using machine learning while data mining algorithms can be realized in hardware, e.g. FPGAs. The restrictions in computing power, memory and energy demands new algorithms for known learning tasks. At Bommerholz 26 scientists and researchers from TU Dortmund and University Duisburg-Essen came together to gain a deeper understanding of the topic and exchange progress of ongoing projects.

RapidMiner is the most successful open source data mining tool for the third year in series -- only the commercial product Clementine (SPSS PASW Modeler) is more popular. (Weiter...  )

1st Asian Conference on Machine Learning
November 2-4, 2009, Nanjing, China (Weiter...  )

Katharina Morik "Handling Texts -- A Challenge for Data Mining" talk (in English), introduced by Jean-Gabriel Ganascia on the 9th francophone expert conference on Machine Learning and Data Mining, Strasbourg 2009

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Videolink for other players

(Weiter...  )

Lecture of Yoav Freund at the ECML PKDD 2008 about machine learning and biology

BioDatatbases(bioDatabases.m4v, 170.6 MB)

(Weiter...  )

Based on the experiences of the 1999 lecture DAP1 a new textbook has finally arisen. This book introduces the fundamentals of the common core of different computer science areas by means of the programming language JAVA. (Weiter...  )

Prof. Dr. Katharina Morik was asked for a statement about equal opportunity for women.

The resulting TV report was shown on 07/11/2007 during the "tagesschau" news broadcast.

Source: Tagesschau-archive

Several programs have been developed at the AI unit within its research activities, such as myKLR, SVM^light, mySVM, RapidMiner (formerly YALE), the Information Layer or the USCHIFICATOR. Check our software page for a complete list. (Weiter...  )