PiGrid is a citizen science application based on the BOINC open-source network for volunteer computing from the Berkeley university. "Gridcoin" is a blockchain token that serves as a refund for giving computing power to research projects. PiGrid realizes an easy to use device based on a handy and smart microcontroller that realizes the services of a crypto-currency wallet. The device is also capable of directing its computing-power to work units in BOINC.
The business model of credit bureaus is to collect and provide relevant information for assessing creditors’ risks when interacting with consumers or companies. Central tasks in managing such information are to search and identify entities for which a credit report is requested and to predict and explain the future behaviour of these entities.
Data science which is nowadays strongly interconnected with Big Data analysis, machine learning and statistics is a key issue in Knowledge Discovery (KD) techniques from sources such as Databases (KDD) or Text (KDT). This presentation aims to discuss results of Evolutionary K-Means towards large scale bibliographic data analysis.
Crowdsourcing has become an extremely powerful and useful thing for many people.It will limit the improvement of crowdsourcing platforms if only focusing on the crowdsourcing platform itself. It is also important to listen to crowd workers and requesters in social media.
We present a new method for detecting interpretable subgroups with exceptional transition behavior in sequential data. To tackle this task we employ exceptional model mining.
As the currently biggest online available encyclopedia, Wikipedia is a target of ontology extraction approaches. We assemble a suite of bad smells to perform a criteria based evaluation on an extracted ontology that aims at giving a classification taxonomy.
The current Web of Data contains a large amount of interlinked data. However, there is still limited knowledge about the quality of the links connecting entities of different and distributed data sets. In this article, we present a framework for the intrinsic evaluation of RDF links, based on the core principles of Semantic Web data integration.
Saliency is a scene feature which sticks out of its surroundings most. Nowadays there exist a wide range of approaches intended to detect saliency from images. Comparison and evaluation of these models is a significant task in multimedia analysis.
Writing an application that offers eye tracking support for a common social media platform was the goal of the research lab “Eye-tracking” (WS 15/16). The platform of choice was Twitter and this talk will introduce the application “GazeTheWeb – Tweet” with its functionalities as well as the evaluation to evaluate the usability of proposed system
Participants: Svenja Neuneier, Dennis Hahn, Caterine Ospina Ocampo, Sergei Diez, Saskia Handabura, Kim Ballmes, Wojciech Kwasnik, Benjamin Stephan, Eike Idczak, Matthias Barde, Annika Wießgügel, Philipp Weber
In this talk, I present recent results on the measurement of conflict in signed social network. A signed social network is a network in which both positive and negative ties are present, for instance representing friendship and enmity, or trust and distrust.