61 citations · 63 across the 7 of their papers we have counts for
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cs.DB2026
Discovering Frequent Closed Embedded Sub-DAGs in Spatio-Temporal Event Data
Piotr S. Maciąg
We propose a novel approach to mine patterns in spatio-temporal event data based on discovering frequent closed embedded sub-Directed Acyclic Graphs (DAGs). In our method, event in…
cs.DB2017
Discovering Sequential Patterns in Event-Based Spatio-Temporal Data by Means of Microclustering - Extended Report
Piotr S. Maciąg
In the paper, we consider the problem of discovering sequential patterns from event-based spatio-temporal data. The problem is defined as follows: for a set of event types and…
cs.DB2017★ 2 cited
Efficient Discovering of Top-K Sequential Patterns in Event-Based Spatio-Temporal Data
Piotr S. Maciąg
We consider the problem of discovering sequential patterns from event-based spatio-temporal data. The dataset is described by a set of event types and their instances. Based on the…