14 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Large Language Models for Spatial Trajectory Patterns Mining
Zheng Zhang, Hossein Amiri, Zhenke Liu +2
Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderl…
cs.DB2021★ 1 cited
Probabilistic Counting in Uncertain Spatial Databases using Generating Functions
Andreas Züfle
Location data is inherently uncertain for many reasons including 1) imprecise location measurements, 2) obsolete observations that are often interpolated, and 3) deliberate obfusca…
cs.DB2010★ 14 cited
Probabilistic Frequent Pattern Growth for Itemset Mining in Uncertain Databases (Technical Report)
Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz +2
Frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied on standard (certain) transaction databases.…