Focus Group: Web Data Mining (Prof. Paulheim)

The Web Data Mining group targets two main topics. First, we look on using structured and semi-structured web data as background knowledge in data mining problems. We develop methods for efficiently accessing such web data in data mining, and mining algorithms tailored to the particularities of such data. Second, we use data mining methods to create and improve large-scale web corpora. Here, we look into machine learning methods for completing missing knowledge, as well as methods for identifying wrong pieces of information.

Master and Bachelor Theses

Adtelligence ist ein internationales Software- & Technologieunternehmen und wurde vom Weltwirtschaftsforum 2014 als Technology Pioneer und von...

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This thesis should provide an in-depth overview of the various recurrent neural network models (fully recurrent networks, recursive networks, long...

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This thesis should provide an in-depth overview of the state-of-the-art methods for representing knowledge graphs and knowledge bases in the (i.e.,...

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Social network are of high interests, for many applications ranging from simple user profiling to user customized advertisement. In this thesis, we...

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Continuous emotions detection is a core aspect for many real application. In this work we will experiment with an existing interactive installation...

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The goal of this thesis would be to organize news from German news outlets in such a way to detect events and salient topics in the news. The...

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Convolutional neural networks have been shown to be very successful to various text classification tasks. The main shortcoming of CNNs used for text...

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Recently the DWS group released a huge repository of hypernymy relations the Web, the WebIsADb (http://webdatacommons.org/isadb/), containing a large...

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MOTIVATION
Bitcoin ist eine virtuelle Währung mit einem Marktwert von ca. 10 Mrd US-$ und ca. 200.000 Transaktionen pro Tag. Bitcoin beruht auf der...

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In this thesis we will build upon and extend an annotation tool to conduct a user study and better understand the requirements towards image...

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Publications

2017

2016

2015

2014

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2012

2011

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2008

2007