Daniel Trabold

According to our database, Daniel Trabold authored at least 10 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Mining Frequent Itemsets from Transactional Data Streams with Probabilistic Error Bounds.

Daniel Trabold

PhD thesis, 2020

Effective approximation of parametrized closure systems over transactional data streams.

Daniel Trabold, Tamás Horváth, Stefan Wrobel

Mach. Learn., 2020

2018

Simple Recurrent Neural Networks for Support Vector Machine Training.

Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Mining Strongly Closed Itemsets from Data Streams.

Daniel Trabold, Tamás Horváth

Proceedings of the Discovery Science - 20th International Conference, 2017

2016

Mining Data Streams with Dynamic Confidence Intervals.

Daniel Trabold, Tamás Horváth

Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

2015

In-Stream Frequent Itemset Mining With Output Proportional Memory Footprint.

Daniel Trabold, Mario Boley, Michael Mock, Tamás Horváth

Proceedings of the LWA 2015 Workshops: KDML, 2015

2013

A Relevance Criterion for Sequential Patterns.

Henrik Grosskreutz, Bastian Lang, Daniel Trabold

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Parallel subgroup discovery on computing clusters - First results.

Daniel Trabold, Henrik Grosskreutz

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2008

Extraction of Failure Graphs from Structured and Unstructured Data.

Martin Schierle, Daniel Trabold

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Multilingual Knowledge-Based Concept Recognition in Textual Data.

Martin Schierle, Daniel Trabold

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008