activity
20092024
most citedProbabilistic Frequent Pattern Growth for Itemset Mining in Uncertain Databases (Technical Report)

14 citations · 42 across the 11 of their papers we have counts for

collaborators

11 papers

math.CO2024

-local Graphs

Christian Beth, Pamela Fleischmann, Annika Huch +4

In 2017 Day et al. introduced the notion of locality as a structural complexity-measure for patterns in the field of pattern matching established by Angluin in 1980. In 2019 Casel…

cs.OH2023★ 4 cited

Towards Mobility Data Science (Vision Paper)

Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45

Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…

cs.DB2020★ 1 cited

Complete and Sufficient Spatial Domination of Multidimensional Rectangles

Tobias Emrich, Hans-Peter Kriegel, Andreas Züfle +2

Rectangles are used to approximate objects, or sets of objects, in a plethora of applications, systems and index structures. Many tasks, such as nearest neighbor search and similar…

cs.DS2017★ 10 cited

Efficient Information Flow Maximization in Probabilistic Graphs

Christian Frey, Andreas Züfle, Tobias Emrich +1

Reliable propagation of information through large networks, e.g., communication networks, social networks or sensor networks is very important in many applications concerning marke…

cs.DS2016★ 3 cited

Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem

Gregor Jossé, Ying Lu, Tobias Emrich +4

This paper extends the Arc Orienteering Problem (AOP) to large road networks with time-dependent travel times and time-dependent value gain, termed Twofold Time-Dependent AOP or 2T…

cs.DB2014★ 9 cited

Towards Knowledge-Enriched Path Computation

Georgios Skoumas, Klaus Arthur Schmid, Gregor Jossé +4

Directions and paths, as commonly provided by navigation systems, are usually derived considering absolute metrics, e.g., finding the shortest path within an underlying road networ…