Large language models for forecasting and anomaly detection: A systematic literature review
J Su, C Jiang, X **, Y Qiao, T ** a geospatial data-driven solution for rapid natural wildfire risk assessment
Computational natural wildfire simulation is a computing-intensive process. The process is
also challenging because of the need to integrate data with wide spatial and temporal …
also challenging because of the need to integrate data with wide spatial and temporal …
Hierarchical spark: A multi-cluster big data computing framework
Z Liu, H Zhang, L Wang - 2017 IEEE 10th International …, 2017 - ieeexplore.ieee.org
Nowadays, with the increasing burst of newly generated data everyday, as well as the vast
expanding needs for corresponding data analyses, grand challenges have been brought to …
expanding needs for corresponding data analyses, grand challenges have been brought to …
(A) kNN query processing on the cloud: a survey
A k-nearest neighbor (k NN) query determines the k nearest points, using distance metrics,
from a given location. An all k-nearest neighbor (A k NN) query constitutes a variation of ak …
from a given location. An all k-nearest neighbor (A k NN) query constitutes a variation of ak …
Comparative analysis of spark and ignite for big spatial data processing
S Abuayeid, L Alarabi - International Journal of Advanced …, 2021 - search.proquest.com
Recently, spatial data became one of the most interesting fields related to big data studies,
in which the spatial data have been generated and consumed from different resources …
in which the spatial data have been generated and consumed from different resources …
[PDF][PDF] Location aware social networks user profiling using big data analytics
VG Mukkamula, L Nangunuri - International Journal of Intelligent …, 2017 - inass.org
Social Network Analytics (SNA), on the other hand, provides insights of many perspectives
of the society through the sample users participated in social network. The exponential …
of the society through the sample users participated in social network. The exponential …
Towards More Efficient Collaborative Distributed Data Analysis and Learning
Z Liu - 2022 - stars.library.ucf.edu
Modern information era gives rise to the persistent generation of large amounts of data with
rapid speed and broad geographical distribution. Obtaining knowledge and understanding …
rapid speed and broad geographical distribution. Obtaining knowledge and understanding …