Daniel Trabold

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 4

Top Topics

Subgroup Discovery

Frequent Itemset Mining

Top Venues

Publications

Daniel Trabold, Tamás Horváth, Stefan Wrobel
Effective approximation of parametrized closure systems over transactional data streams. Mach. Learn. 109 (6) (2020)
Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage
Simple Recurrent Neural Networks for Support Vector Machine Training. ICANN (3) (2018)
Daniel Trabold, Tamás Horváth
Mining Strongly Closed Itemsets from Data Streams. DS (2017)
Daniel Trabold, Tamás Horváth
Mining Data Streams with Dynamic Confidence Intervals. DaWaK (2016)
Daniel Trabold, Mario Boley, Michael Mock, Tamás Horváth
In-Stream Frequent Itemset Mining With Output Proportional Memory Footprint. LWA (2015)
Daniel Trabold, Henrik Grosskreutz
Parallel subgroup discovery on computing clusters - First results. IEEE BigData (2013)
Henrik Grosskreutz, Bastian Lang, Daniel Trabold
A Relevance Criterion for Sequential Patterns. ECML/PKDD (1) (2013)
Martin Schierle, Daniel Trabold
Extraction of Failure Graphs from Structured and Unstructured Data. ICMLA (2008)
Martin Schierle, Daniel Trabold
Multilingual Knowledge-Based Concept Recognition in Textual Data. GfKl (2008)