Workshop “Massive Data Models and Computational Geometry”

September 23-27, 2024

Venue: Lecture Hall (Room 0.109), b-it building, Friedrich-Hirzebruch-Allee 6, 53115 Bonn, Germany

Organizers: Anne Driemel (Bonn University), Mark de Berg (Eindhoven University of Technology), Robert Krauthgamer (Weizmann Institute of Science), Morteza Monemizadeh (Eindhoven University of Technology)

Description: The last decade has seen an explosion of available data. To analyze the enormous amount of accrued data, classical algorithms are often not appropriate: the data may not be accessible in its entirety (but perhaps only in an aggregate form) and computations may need to be distributed or done in an online setting. The data often comes with an additional geometric flavor, either from applications or from mapping the data to feature spaces.

The workshop will focus on three classes of algorithms for dealing with massive geometric data, namely, streaming, distributed, and sublinear algorithms. The aim of the workshop to identify and explore new research directions at the interface of massive data models and computational geometry, through fruitful discussions leading to potential collaborations.

In case of questions concerning services and administration, please contact events@hcm.uni-bonn.de

The guests will be invited by HCM, there will be no application process.

The workshop is partially sponsored by the NETWORKS project and by the AlgoForGe project.  

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