학술논문

Multiple-Aspect Analysis of Semantic Trajectories
Document Type
book
Author
Source
Subject
Computer science
Machine learning
Application software
Optical data processing
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
Language
English
Abstract
This open access book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting mix of techniques to solve recurrent as well as new problems in the semantic trajectory domain, such as data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.