Recently, the topic of community search (CS) has gained plenty of attention. Given a query
vertex, CS looks for a dense subgraph that contains it. Existing studies mainly focus on …

The development of information technology has enabled many different technologies to
collect large amounts of spatial data every day. It is of very great significance to discover …

The presence or absence of some urban facilities can shape the spatial distribution of crime
occurrence. Exploring the joint influence of various types of facilities on crime occurrence …

It is usually difficult for prevalent negative co-location patterns to be mined and calculated.
This paper proposes a join-based prevalent negative co-location mining algorithm, which …

Spatial colocation patterns are subsets of spatial feature sets that are frequently
“neighboring” in space. In the majority of existing mining methods, neighboring is …

Spatial co-location pattern (SCP) mining discovers subsets of spatial feature types whose
objects frequently co-locate in a geographic space. Many existing methods treat the space …

Spatial co-location pattern (SCP) mining aims to mine the implicit relationships between
different spatial features. These features often have certain connections and co-occur in …

Spatial data often exhibit a tendency highly similar to spatial objects located close to each
other. Thus, prevalent co-location pattern (PCP) mining has been studied extensively to …

As urban areas expand, understanding the spatial organization of urban functional zones
becomes crucial for efficient urban planning and sustainable growth. The Yangtze River …

Spatial co-location pattern mining (SCPM) aims to discover subsets of spatial features
frequently located together in proximate areas. Previous studies of SCPM solely concern the …