Paper Info
Title
Advanced knowledge discovery on movement data with the GeoPKDD system
Abstract
The growing availability of mobile devices produces an enormous quantity of personal tracks which calls for advanced analysis methods capable of extracting knowledge out of massive trajectories datasets. In this paper we present an experiment on a real world scenario that demonstrates the strong analytical power of massive, raw trajectory data made available as a by-product of telecom services, in unveiling the complexity of urban mobility. The experiment has been made possible by the GeoPKDD system, an integrated platform for complex analysis of mobility data. The system combines spatio-temporal querying capabilities with data mining and semantic technologies, thus providing a full support for the Mobility Knowledge Discovery process.
Year
DOI
Venue
2010
10.1145/1739041.1739129
EDBT
Keywords
Field
DocType
mobility knowledge discovery process,complex analysis,movement data,massive trajectories datasets,data mining,geopkdd system,raw trajectory data,advanced analysis method,advanced knowledge discovery,mobility data,enormous quantity,urban mobility,mobile device,security,usability,semantic technologies,privacy,knowledge discovery,masking
Data science,Data mining,Data stream mining,Semantic technology,World Wide Web,Computer science,Usability,Mobile device,Knowledge extraction,Database,Trajectory
Conference
Citations 
PageRank 
References 
10
0.91
7
Authors
5
Name
Order
Citations
PageRank
Mirco Nanni1141284.47
Roberto Trasarti271045.82
Chiara Renso392576.04
Fosca Giannotti42948253.39
Dino Pedreschi53083244.47