Urban analytics of big transportation data for supporting smart cities
CK Leung, P Braun, CSH Hoi, J Souza… - Big Data Analytics and …, 2019 - Springer
The advances in technologies and the popularity of the smart city concepts have led to an
increasing amount of digital data available for urban research, which in turn has led to urban …
increasing amount of digital data available for urban research, which in turn has led to urban …
Effective classification of ground transportation modes for urban data mining in smart cities
CK Leung, P Braun, AGM Pazdor - … September 3–6, 2018, Proceedings 20, 2018 - Springer
The increasing amount of digital data in urban research has drawn attention in urban data
mining. In urban research (eg, travel studies in urban areas), researchers who conduct …
mining. In urban research (eg, travel studies in urban areas), researchers who conduct …
[PDF][PDF] Learning Binary Classification Rules for Sequential Data.
Discovering patterns for classification of sequential data is of key importance for a variety of
fields, ranging from genomics to fraud detection. In this short paper, we propose a …
fields, ranging from genomics to fraud detection. In this short paper, we propose a …
Discretized sequential pattern mining for behaviour classification
S Buffett - Granular Computing, 2021 - Springer
This paper proposes an approach for behavioural analysis on continuous data based on
sequential pattern mining (SPM) and classification. Discretization and granularity issues …
sequential pattern mining (SPM) and classification. Discretization and granularity issues …