Cloud Model-Based Spatial Data Mining[J] . Shuliang Wang,Deren Li,Wenzhong Shi,Deyi Li,Xinzhou Wang.Geographic Information Sciences . 2003 (1-2)Cloud Model-based Spatial Data Mining. Wang S L. International Jou
In short, spatial data mining aims to extract patterns which are previously unknown but potentially useful. Spatial association rule mining (Koperski and Han, 1995) discovers the frequent co-occurrences of spatial predicates, such as adjacent_to, nearby MARIO framework: workflow Fig. 2 depicts the...
Using point cloud to reconstruct the 3D model of a substation is crucial for smart grid operation. Its main objective is to swiftly capture equipment point cloud data and align each device’s model within the large and noisy point cloud scene of the substation. However, substation reconstruction...
The database runs on the service provider’s infrastructure. This usage model typically includes automation in the areas of provisioning, backup, scaling, high availability, security, patching, and health monitoring. The DBaaS model provides organizations with the greatest value, allowing them to use...
model dataset (DEM) ". With the help of cloud-stored observation data, users can easily conduct global resource and environmental monitoring in the cloud platform (Shao et al., 2012). For example, Google has developed a GEE cloud platform with global-scale PB-scale data processing capabilities...
Biography:WANG Shuliang, Ph. D., Professor, research directions: cloud model, spatial data mining and knowledge discovery. Rights and permissions Reprints and permissions About this article Cite this article Wang, S., Xie, Y. & Fang, M. A collaborative filtering recommendation algorithm based on...
A cloud database is a database deployed in the cloud that provides opportunity for organizations to contract with cloud service providers through a subscription model. The advantage include automation, backup, scalability, high availability, security an
Building a prediction model using SaaS-based AutoML tool R2 Learn by Afzaal Ahmad Zeeshan R2 Learn, a SaaS-based end-to-end automated machine learning (AutoML) tool, makes it easy for data scientists or data engineers to get from importing a dataset, to training models and getting predictions...
GIS allows us to interact with maps more easily and make more precise decisions and actions based on the representation of spatial data. When visualizing the data, it’s essential to keep in mind the person who... Field Data Collection: Best Practices Every field project is a bit different...
A cloud database is a database deployed in the cloud that provides opportunity for organizations to contract with cloud service providers through a subscription model. The advantage include automation, backup, scalability, high availability, security an