KMD Events

Presentation of Topics for the Summer Term 2017

 On 03.04.2017 at 11:15 a.m. in the room G22A-112 the KMD Lab will present topics for:

• Master Seminars - Advanced Topics in KMD
• Bachelor Seminars
• Scientific Team Projects
• Software Projects

 

 After the presentation you can apply for topics that you find interesting.

Our presentation will be in English, but you are free to choose the language of your report and of the communication with your supervisor between English and German.

All students, who are interested in our topics, are invited.

 

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Tutorial at PAKDD 2016, Auckland, New Zealand

07.04.2016 -

Myra Spiliopoulou gives a tutorial on "Medical Mining" at PAKDD 2016, Auckland, New Zealand, together with Ernestina Menasalvas (Univ. Polytecnica de Madrid) and Pedro Pereira Rodrigues (Univ. Porto) on April 2016.

Tutorial webpage of the PAKDD2016

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FIN-Forschungspreis 2015

20.01.2016 -

Dr. Georg Krempl and Daniel Kottke have been awarded with the "FIN-Forschungspreis 2015". This year, the best publication of the faculty has been chosen to be "Optimised probabilistic active learning (OPAL): For Fast, Non-Myopic, Cost-Sensitive Active Classification." by Georg Krempl, Daniel Kottke, and Vincent Lemaire. It was published in the special issue of the ECMLPKDD 2015 Journal Track in the Journal of Machine Learning.

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Studentischer Forschungspreis 2015

19.01.2016 -

Stefan Räbiger is the recipient of the award "Studentischer Forschungspreis 2015" for the paper "A Framework for Validating the Merit of Properties that Predict the Influence of a Twitter User", which was co-written by Prof. Myra Spiliopoulou. It was awarded by the faculty of Computer Science of the Otto-von-Guericke University. The paper is based on his master's thesis which was also supervised by Prof. Spiliopoulou.

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New opening for Bachelor thesis/ Ausschreibung für Bachelorarbeit

02.12.2015 -

Topic: "Klassifikation plantarer Druck- und Temperatur-Zeitreihen von Patienten mit diabetischem Fußsyndrom"

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Last Modification: 20.12.2017 - Contact Person:

Sie können eine Nachricht versenden an: Prof. Dr. rer. nat. habil. Myra Spiliopoulou
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