Demos
Demonstrations provide researchers and practitioners with an exciting and interactive opportunity to present their systems, artifacts and/or research prototypes, either at a regular session or at the technical exhibition. In any case, it is required to avoid a commercial format, even if the demo consists of presenting a business product or service. Instead, the presentation should focus on technical aspects.
Any written support materials may be distributed locally but not published in the proceedings. Authors who already present a paper at the conference may apply for a demonstration, to complement but not to replace their paper presentation. Demonstrations can also be made by sponsor companies or as a mixed initiative involving researchers and industrial partners.
Demonstrations are based on an informal setting that encourages presenters and participants to engage in discussions about the presented work. This is an opportunity for the participants to disseminate practical results of their research and to network with other applied researchers or business partners.
Concerning the format of the demo, we can accommodate it either as a demonstration in a booth (physical area of 4 sq. meter, with a table and 2 chairs) at the exhibition area, as a poster or as a 20 min oral presentation at a session especially set up for demonstrations. It is also possible to organize the presentation of the same demo in more than one format.
Please contact the
event secretariat.
Extraction of Main Dynamics in Platform Metrics
Lecturer
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Evelyn Trautmann
Lovoo GmbH
Germany
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Brief Bio
Evelyn Trautmann studied Mathematics at Free University of Berlin, where she got her Diploma in Mathematics in 2004. Afterwards she did her PhD in the biocomputing group, which was part of math department at Free University of Berlin.
In 2009 she completed her dissertation as a member of the Berlin Mathematical School and International Max Planck Research School. In her PhD thesis "Hidden Markov Models with Time-Continuous Output Behavior” she investigated and applied time continuous Markov Processes to molecular dynamics simulation data. After her PhD she spent one more year in a scientific software project at Free University of Berlin.
After a parental leave she joined 2011 ERP software provider Softsite as a Data Engineer. 2013 she changed to the gaming company GameDuell as a Data Scientist and since 2016 she is doing Data Science and Machine Learning at the dating platform Lovoo.
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Abstract
Monitoring platform health can become complex and difficult to grasp with an increasing number of relevant metrics. In this talk we present a method to extract components of strongly correlated platform metrics, based on spectral clustering. We give an introduction to the mathematical background of spectral clustering and apply this basic knowledge to masked real data.
We then show that we can derive the main dynamics of our platform from these components and how trends and changes of the entire platform are mirrored within the clusters of the similarity matrix.