Traffic pattern mining and forecasting technologies in maritime traffic service networks: A comprehensive survey
Maritime traffic service networks and information systems play a vital role in maritime traffic
safety management. The data collected from the maritime traffic networks are essential for …
safety management. The data collected from the maritime traffic networks are essential for …
Spatial data mining and geographic knowledge discovery—An introduction
Voluminous geographic data have been, and continue to be, collected with modern data
acquisition techniques such as global positioning systems (GPS), high-resolution remote …
acquisition techniques such as global positioning systems (GPS), high-resolution remote …
Data mining and official statistics: the past, the present and the future
Along with the increasing availability of large databases under the purview of National
Statistical Institutes, the application of data mining techniques to official statistics is now a hot …
Statistical Institutes, the application of data mining techniques to official statistics is now a hot …
Spatial co-location pattern mining for location-based services in road networks
W Yu - Expert Systems with Applications, 2016 - Elsevier
With the evolution of geographic information capture and the emergency of volunteered
geographic information, it is getting more important to extract spatial knowledge …
geographic information, it is getting more important to extract spatial knowledge …
Mining spatiotemporal association patterns from complex geographic phenomena
Spatiotemporal association pattern mining can discover interesting interdependent
relationships among various types of geospatial data. However, existing mining methods for …
relationships among various types of geospatial data. However, existing mining methods for …
MARIO: A spatio-temporal data mining framework on Google Cloud to explore mobility dynamics from taxi trajectories
With the major advances in location acquisition techniques, deployment of GPS enabled
devices and increasing number of mobile users, substantial amount of location traces are …
devices and increasing number of mobile users, substantial amount of location traces are …
[BOEK][B] Geographic knowledge infrastructure: applications to territorial intelligence and smart cities
R Laurini - 2017 - books.google.com
Geographic Knowledge Engineering: Applications to Territorial Intelligence and Smart Cities
studies the specific nature of geographic knowledge and the structure of geographic …
studies the specific nature of geographic knowledge and the structure of geographic …
An efficient method for mining multi-level high utility itemsets
High-utility itemset mining (HUIM) is a useful tool for analyzing customer behavior in the field
of data mining. HUIM algorithms can discover the most beneficial itemsets in transaction …
of data mining. HUIM algorithms can discover the most beneficial itemsets in transaction …
Knowledge graphs completion via probabilistic reasoning
Constructing large-scale knowledge base has encountered a bottleneck because of the
limitation of natural language processing. Many approaches have been put forward to infer …
limitation of natural language processing. Many approaches have been put forward to infer …
Mining spatial colocation patterns: a different framework
JS Yoo, M Bow - Data Mining and Knowledge Discovery, 2012 - Springer
Recently, there has been considerable interest in mining spatial colocation patterns from
large spatial datasets. Spatial colocation patterns represent the subsets of spatial events …
large spatial datasets. Spatial colocation patterns represent the subsets of spatial events …