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Semantic trajectories modeling and analysis
TLDR
This survey provides the definitions of the basic concepts about mobility data, an analysis of the issues in mobility data management, and a survey of the approaches and techniques for: (i) constructing trajectories from movement tracks, enriching trajectories with semantic information to enable the desired interpretations of movements, (ii) using data mining to analyze semantic trajectories and extract knowledge about their characteristics, in particular the behavioral patterns of the moving objects. Expand
Inferring human activities from GPS tracks
TLDR
The collection of huge amount of tracking data made possible by the widespread use of GPS devices, enabled the analysis of such data for several applications domains, ranging from traffic management to advertisement and social studies. Expand
Unveiling the complexity of human mobility by querying and mining massive trajectory data
TLDR
We present the results of a large-scale experiment, based on the detailed trajectories of tens of thousands private cars with on-board GPS receivers, tracked during weeks of ordinary mobile activity. Expand
Where shall we go today?: planning touristic tours with tripbuilder
TLDR
We propose TripBuilder, a new framework for personalized touristic tour planning that outperforms strong baselines by exploiting the wisdom-of-the-crowds information. Expand
On planning sightseeing tours with TripBuilder
TLDR
We propose T rip B uilder , an unsupervised framework for planning personalized sightseeing tours in cities. Expand
CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects
TLDR
This paper presents a semantic trajectory conceptual data model named CONSTAnT, which defines the most important aspects that make a trajectory “semantic” are taken into account. Expand
Mobility Data: Modeling, Management, and Understanding
TLDR
Visual analytics develops knowledge, methods, and technologies that exploit and combine the strengths of human and electronic data processing (Keim et al., 2008). Expand
Synthetic generation of cellular network positioning data
TLDR
This paper focuses on providing a system to build benchmark datasets for cellular devices positioning data, that typically will not be easily publicly available for scientific research, by simulating semantic-based movement behaviours from a setting of user parameters. Expand
Web log data warehousing and mining for intelligent web caching
TLDR
We introduce intelligent web caching algorithms that employ predictive models of web requests; the general idea is to extend the least recently used policy of web and proxy servers by making it sensitive to web access models extracted from web log data using data mining techniques. Expand
The Baquara2 knowledge-based framework for semantic enrichment and analysis of movement data
TLDR
The analysis of movements frequently requires more than just spatio-temporal data. Expand
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