Traffic pattern mining and forecasting technologies in maritime traffic service networks: A comprehensive survey

Z **ao, X Fu, L Zhang, RSM Goh - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Spatial data mining and geographic knowledge discovery—An introduction

J Mennis, D Guo - Computers, Environment and Urban Systems, 2009 - Elsevier
Voluminous geographic data have been, and continue to be, collected with modern data
acquisition techniques such as global positioning systems (GPS), high-resolution remote …

Data mining and official statistics: the past, the present and the future

H Hassani, G Saporta, ES Silva - Big Data, 2014 - liebertpub.com
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 …

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 …

Mining spatiotemporal association patterns from complex geographic phenomena

Z He, M Deng, J Cai, Z **e, Q Guan… - International Journal of …, 2020 - Taylor & Francis
Spatiotemporal association pattern mining can discover interesting interdependent
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

S Ghosh, SK Ghosh, R Buyya - Journal of Network and Computer …, 2020 - Elsevier
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 …

[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 …

An efficient method for mining multi-level high utility itemsets

NT Tung, LTT Nguyen, TDD Nguyen, B Vo - Applied Intelligence, 2022 - Springer
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 …

Knowledge graphs completion via probabilistic reasoning

R Zhang, Y Mao, W Zhao - Information Sciences, 2020 - Elsevier
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 …

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 …