[图书][B] Handbook of discrete and computational geometry

CD Toth, J O'Rourke, JE Goodman - 2017 - books.google.com
The Handbook of Discrete and Computational Geometry is intended as a reference book
fully accessible to nonspecialists as well as specialists, covering all major aspects of both …

Trajectory outlier detection: A partition-and-detect framework

JG Lee, J Han, X Li - 2008 IEEE 24th International Conference …, 2008 - ieeexplore.ieee.org
Outlier detection has been a popular data mining task. However, there is a lack of serious
study on outlier detection for trajectory data. Even worse, an existing trajectory outlier …

Discovery of convoys in trajectory databases

H Jeung, ML Yiu, X Zhou, CS Jensen… - arXiv preprint arXiv …, 2010 - arxiv.org
As mobile devices with positioning capabilities continue to proliferate, data management for
so-called trajectory databases that capture the historical movements of populations of …

[图书][B] Temporal data mining

T Mitsa - 2010 - taylorfrancis.com
Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …

Trajstore: An adaptive storage system for very large trajectory data sets

P Cudre-Mauroux, E Wu… - 2010 IEEE 26th …, 2010 - ieeexplore.ieee.org
The rise of GPS and broadband-speed wireless devices has led to tremendous excitement
about a range of applications broadly characterized as¿ location based services¿. Current …

Managing uncertainty in moving objects databases

G Trajcevski, O Wolfson, K Hinrichs… - ACM Transactions on …, 2004 - dl.acm.org
This article addresses the problem of managing Moving Objects Databases (MODs) which
capture the inherent imprecision of the information about the moving object's location at a …

Online event recognition from moving vessel trajectories

K Patroumpas, E Alevizos, A Artikis, M Vodas… - GeoInformatica, 2017 - Springer
We present a system for online monitoring of maritime activity over streaming positions from
numerous vessels sailing at sea. The system employs an online tracking module for …

Sampling trajectory streams with spatiotemporal criteria

M Potamias, K Patroumpas… - … Conference on Scientific …, 2006 - ieeexplore.ieee.org
Monitoring movement of high-dimensional points is essential for environmental databases,
geospatial applications, and biodiversity informatics as it reveals crucial information about …

Detecting commuting patterns by clustering subtrajectories

K Buchin, M Buchin, J Gudmundsson… - International Journal of …, 2011 - World Scientific
In this paper we consider the problem of detecting commuting patterns in a trajectory. For
this we search for similar subtrajectories. To measure spatial similarity we choose the …

kmlShape: an efficient method to cluster longitudinal data (time-series) according to their shapes

C Genolini, R Ecochard, M Benghezal, T Driss… - Plos one, 2016 - journals.plos.org
Background Longitudinal data are data in which each variable is measured repeatedly over
time. One possibility for the analysis of such data is to cluster them. The majority of clustering …