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Exploratory Data Analysis

Exploratory Data Analaysis at Cluster of Excellence MMCI, Saarland University, Max Planck Institute for Informatics

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Exploratory Data Analysis | eda.mmci.uni-saarland.de Reviews
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Exploratory Data Analysis | eda.mmci.uni-saarland.de Reviews

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Exploratory Data Analaysis at Cluster of Excellence MMCI, Saarland University, Max Planck Institute for Informatics

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Education | Exploratory Data Analysis

http://eda.mmci.uni-saarland.de/edu

The Information Theory Seminar. 7 ECTS) with lectures, discussions, presentations. Lectured by Jilles Vreeken. We will investigated the following questions:. What is structure, and what is noise? What is a good model for data when we don't know what we're looking for? What is the ultimate model for some given data, and how can we approximate that model in practice? Topics in Algorithmic Data Analysis. 6 ECTS) with lectures and assignments. Lectured by Jilles Vreeken. Topics in Algorithmic Data Analysis.

2

Research

http://eda.mmci.uni-saarland.de/prj

Causal Inference by Direction of Information. We consider non-parametric causal inference. That is, given two variables of which we know that they are be correlated, Ergo. Can efficiently and reliably infer their causal direction – without having to assume a distribution. More information here. Causal Inference by Direction of Information. In: Proceedings of the SIAM International Conference on Data Mining (SDM). Pp 909-917, SIAM, 2015. Causal Inference by Compression. We propose the Origo. Flexibly Mini...

3

Reconstructing an Epidemic over Time | Implementation

http://eda.mmci.uni-saarland.de/cult

Reconstructing an Epidemic over Time. We consider the problem of reconstructing an epidemic over time, or, more general, reconstructing the propagation of an activity in a network. Our input consists of a temporal network. A scalable and effective algorithm to reconstruct epidemics that is also suited for an online setting. It works by formulating the problem as that of a temporal Steiner-tree computation, for which we design a fast algorithm leveraging the specific structure of our problem. We d...Recon...

4

Keeping it Short and Simple | Implementation

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Keeping it Short and Simple. Summarising Complex Event Sequences with Multivariate Patterns. An efficient algorithm to approximate the ideal result. We support our claim with a set of experiments on both synthetic and real data. The C source code by Roel Bertens. Bertens, R, Vreeken, J and Siebes, A. Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. Technical Report 1512.07056. Bertens, R, Vreeken, J and Siebes, A. Pp 735-744, ACM, 2016.

5

People | Exploratory Data Analysis

http://eda.mmci.uni-saarland.de/people

Jilles is the leader of the Independent Research Group on Exploratory Data Analysis. At the DFG Cluster of Excellence on Multimodal Computing and Interaction. In addition, he is affiliated as Senior Researcher with the Database and Information Systems. Group of the Max Planck Institute for Informatics. Independent Research Group Leader. Cluster of Excellence MMCI. Databases and Information Systems. Max Planck Institute for Informatics. Building E 1.7 Room 3.22. 66123 Saarbrücken, Germany. At the Fritz-Ha...

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