[图书][B] Preference-based spatial co-location pattern mining

L Wang, Y Fang, L Zhou - 2022 - Springer
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 …

Efficient mining of regional movement patterns in semantic trajectories

DW Choi, J Pei, T Heinis - Proceedings of the VLDB Endowment, 2017 - dl.acm.org
Semantic trajectory pattern mining is becoming more and more important with the rapidly
growing volumes of semantically rich trajectory data. Extracting sequential patterns in …

Fraction-score: A new support measure for co-location pattern mining

HKH Chan, C Long, D Yan… - 2019 IEEE 35th …, 2019 - ieeexplore.ieee.org
Co-location patterns are well-established on spatial objects with categorical labels, which
capture the phenomenon that objects with certain labels are often located in close …

Parallel grid-based colocation mining algorithms on GPUs for big spatial event data

AM Sainju, D Aghajarian, Z Jiang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Colocation patterns refer to subsets of spatial features whose instances are frequently
located together. Mining colocation patterns is important in many applications such as …

Representative co-location pattern post-mining based on maximal row instances representation model

P Wu, L Wang, P Yang, X Hu - Knowledge-Based Systems, 2024 - Elsevier
The mining result set of spatial prevalent co-location patterns (SPCPs) is often large and
redundant, especially when the prevalence threshold is set to low or long SPCPs are …

Efficient discovery of co-location patterns from massive spatial datasets with or without rare features

P Yang, L Wang, X Wang, L Zhou - Knowledge and Information Systems, 2021 - Springer
A co-location pattern indicates a group of spatial features whose instances are frequently
located together in proximate geographic area. Spatial co-location pattern mining (SCPM) is …

Grid-based colocation mining algorithms on gpu for big spatial event data: A summary of results

AM Sainju, Z Jiang - Advances in Spatial and Temporal Databases: 15th …, 2017 - Springer
This paper investigates the colocation pattern mining problem for big spatial event data.
Colocation patterns refer to subsets of spatial features whose instances are frequently …

Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-location Pattern Mining

HKH Chan, C Long, D Yan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Co-location patterns, which capture the phenomenon that objects with certain labels are
often located in close geographic proximity, are defined based on a support measure which …

Mining co-location patterns with dominant features

Y Fang, L Wang, X Wang, L Zhou - … , Puschino, Russia, October 7-11, 2017 …, 2017 - Springer
The spatial co-location pattern mining discovers the subsets of spatial features which are
located together frequently in geography. Most of the studies in this field use prevalence to …

TSRS: trip service recommended system based on summarized co-location patterns

P Yang, T Zhang, L Wang - Web and Big Data: Second International Joint …, 2018 - Springer
Co-location patterns, whose instances are frequently located together, are particularly
valuable for many applications. With co-location patterns, the location-based service …