A spatially-aware algorithm for location extraction from structured documents. <i>Geoinformatica</i> <b>27</b>, 645–679 (2023). https://doi.org/10.1007 by Praval Sharma (13454448)

ICS-209-PLUS - An all-hazards dataset mined from the US National Incident Management System 1999-2014 by Lise St. Denis (6634934)

PhD Defense: Threshold-based Association Analysis Frameworks for Continuous Variables by Md Mahin (21434966)

“…The first study introduces Norma, a novel association-mining framework tailored for continuous spatial variables analysis. …”

Poster: Sirius: A density-based colocation mining framework for sets of continuous spatial variables by Md Mahin (21434966)

2024 IEEE International Conference on Data Mining Workshops (ICDMW-SSTDM)- Sirius: A density-based colocation mining framework for sets of continuous spatial variables by Md Mahin (21434966)

PhD Proposal Defense: Threshold-based Association Analysis Frameworks for Continuous Variables by Md Mahin (21434966)

“…The first study introduces Norma, a novel association-mining framework tailored for continuous spatial variables analysis. …”

Poster: Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Function by Md Mahin (21434966)

IEEE Big Data 2024 Presentation: Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Function by Md Mahin (21434966)

“…<p dir="ltr">This study introduces Norma, a novel association-mining framework tailored for continuous spatial variables analysis. …”

Online discovery of co-movement patterns in mobility data by Andreas Tritsarolis (8505312)

“…We evaluate EvolvingClusters using real-world and synthetic datasets from multiple mobility domains. Our study demonstrates the effectiveness of the proposed algorithm as well as its value towards a tool to profile semantically rich behaviour and with capabilities to observe and categorize multiple moving objects in real-time.…”

fdata-02-00044_Parallel Processing Strategies for Big Geospatial Data.xml by Martin Werner (281835)

fdata-02-00044_Parallel Processing Strategies for Big Geospatial Data.pdf by Martin Werner (281835)

SICNet - A Spatiotemporal Deep Neural Network for Arctic Sea Ice Forecasting.pdf by Sahara Ali (12419565)

Machine learning-enhanced monitoring of global copper mining areas by Houxuan Li (20960950)

“…Longitude: Longitudinal coordinates of the mine centroid (WGS84, decimal degrees); 4. P_C: Primary commodity extracted from the mine; 5. …”

Kepler optimization algorithm. by Jiangli Yu (4601986)

“…Meanwhile, the Kepler optimization algorithm (KOA) is deeply integrated with this model to optimize the entire process of the model from data preprocessing to result correction. …”

<b>Machine learning-enhanced monitoring of global copper mining areas</b>, by Houxuan Li (20948624)

“…Longitude: Longitudinal coordinates of the mine centroid (WGS84, decimal degrees); 4. P_C: Primary commodity extracted from the mine; 5. …”

STRATEGY FOR EXTRACTION OF FOURSQUARE’S SOCIAL MEDIA GEOGRAPHIC INFORMATION THROUGH DATA MINING by Paula Fernandez Costa (6626366)

“…<div><p>Abstract This aim of this paper is the acquisition of geographic data from the Foursquare application, using data mining to perform exploratory and spatial analyses of the distribution of tourist attraction and their density distribution in Rio de Janeiro city. …”

Spatiotemporally Characterized Ground-Mounted Solar PV Arrays Within California's Central Valley by Jacob Stid (16495302)

Pseudo code for the CAE-DEC training process. by Kevin Palomino (16851192)

“…However, existing approaches do not incorporate Machine Learning and/or Deep Data Mining methods in combination with spatial techniques. …”

Target pose recognition (offline & HITL experiment dataset) by Zihang Su (9195881)

Model accuracy results. by Youngchul Song (14902151)

“…The method proposed herein showed that the prediction results of the number of confirmed cases obtained using opinion mining were 1.12% and 3% better than those obtained without using opinion mining in LSTM and GRU model, and it is expected that social data will be used from a qualitative perspective for predicting the number of confirmed cases of infectious diseases.…”