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11/21/2019
S-RASTER: Contraction Clustering for Evolving Data Streams
Contraction Clustering (RASTER) is a very fast algorithm for density-bas...
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07/08/2019
Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass
Clustering is an essential data mining tool for analyzing and grouping s...
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03/22/2019
Active-Code Replacement in the OODIDA Data Analytics Platform
OODIDA (On-board/Off-board Distributed Data Analytics) is a platform for...
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02/01/2019
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles
Connected vehicles may produce gigabytes of data per hour, which makes c...
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08/24/2018
Functional Federated Learning in Erlang (ffl-erl)
The functional programming language Erlang is well-suited for concurrent...
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11/10/2016
