[HTML][HTML] Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City
Urban areas of interest (AOIs) represent areas within the urban environment featuring high
levels of public interaction, with their understanding holding utility for a wide range of urban …
levels of public interaction, with their understanding holding utility for a wide range of urban …
Targeted mining of contiguous sequential patterns
K Hu, W Gan, S Huang, H Peng, P Fournier-Viger - Information Sciences, 2024 - Elsevier
In recent years, sequential pattern mining (SPM) has been applied in many domains,
including recommender systems, fraud detection, and other related industries. Target …
including recommender systems, fraud detection, and other related industries. Target …
Mining distinct and contiguous sequential patterns from large vehicle trajectories
L Bermingham, I Lee - Knowledge-Based Systems, 2020 - Elsevier
We focus on the problem of using contiguous SPM to extract succinct, redundancy controlled
patterns from large vehicle trajectories. Although there exist several techniques to reduce …
patterns from large vehicle trajectories. Although there exist several techniques to reduce …
Structured medical pathology data hiding information association mining algorithm based on optimized convolutional neural network
X Li, Y Wang, G Liu - IEEE access, 2019 - ieeexplore.ieee.org
When using traditional algorithms to mine the association of hiding information in medical
pathological data, there are some problems, such as low recognition rate of association and …
pathological data, there are some problems, such as low recognition rate of association and …
Moving ahead with computational movement analysis
The growth of computational science has been observed as a multidisciplinary trend in the
late 20th century and is one which has been well documented within Geography and …
late 20th century and is one which has been well documented within Geography and …
Data analytic for healthcare cyber physical system
W Gan, K Hu, G Huang, WC Chien… - … on Network Science …, 2023 - ieeexplore.ieee.org
Nowadays, a large number of AI-powered healthcare cyber-physical systems (CPSs) have
been used in healthcare services. In order to provide better care, AI-powered healthcare …
been used in healthcare services. In order to provide better care, AI-powered healthcare …
Utility-driven mining of contiguous sequences
C Zhang, Q Dai, Z Du, W Gan, J Weng… - arXiv preprint arXiv …, 2021 - arxiv.org
Recently, contiguous sequential pattern mining (CSPM) gained interest as a research topic,
due to its varied potential real-world applications, such as web log and biological sequence …
due to its varied potential real-world applications, such as web log and biological sequence …
Implementation and assessment of two density-based outlier detection methods over large spatial point clouds
Several technologies provide datasets consisting of a large number of spatial points,
commonly referred to as point-clouds. These point datasets provide spatial information …
commonly referred to as point-clouds. These point datasets provide spatial information …
Rebalancing Strategy for Bike‐Sharing Systems Based on the Model of Level of Detail
Z Hu, K Huang, E Zhang, Q Ge… - Journal of advanced …, 2021 - Wiley Online Library
Traveling by bike‐sharing systems has become an indispensable means of transportation in
our daily lives because green commuting has gradually become a consensus and …
our daily lives because green commuting has gradually become a consensus and …
Detecting regional dominant movement patterns in trajectory data with a convolutional neural network
C Yang, G Gidófalvi - International Journal of Geographical …, 2020 - Taylor & Francis
Detecting movement patterns with complicated spatial or temporal characteristics is a
challenge. The past decade has witnessed the success of deep learning in processing …
challenge. The past decade has witnessed the success of deep learning in processing …