Location-dependent query processing: Where we are and where we are heading

S Ilarri, E Mena, A Illarramendi - ACM computing surveys (CSUR), 2010 - dl.acm.org
The continuous development of wireless networks and mobile devices has motivated an
intense research in mobile data services. Some of these services provide the user with …

[BOEK][B] Data mining: concepts and techniques

J Han, J Pei, H Tong - 2022 - books.google.com
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Discovering popular routes from trajectories

Z Chen, HT Shen, X Zhou - 2011 IEEE 27th International …, 2011 - ieeexplore.ieee.org
The booming industry of location-based services has accumulated a huge collection of
users' location trajectories of driving, cycling, hiking, etc. In this work, we investigate the …

A hybrid prediction model for moving objects

H Jeung, Q Liu, HT Shen, X Zhou - 2008 IEEE 24th …, 2008 - ieeexplore.ieee.org
Existing prediction methods in moving objects databases cannot forecast locations
accurately if the query time is far away from the current time. Even for near future prediction …

Monitoring k-nearest neighbor queries over moving objects

X Yu, KQ Pu, N Koudas - 21st International Conference on …, 2005 - ieeexplore.ieee.org
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN)
queries over moving objects within a geographic area. Existing approaches to this problem …

Autoplait: Automatic mining of co-evolving time sequences

Y Matsubara, Y Sakurai, C Faloutsos - Proceedings of the 2014 ACM …, 2014 - dl.acm.org
Given a large collection of co-evolving multiple time-series, which contains an unknown
number of patterns of different durations, how can we efficiently and effectively find typical …

A generic framework for monitoring continuous spatial queries over moving objects

H Hu, J Xu, DL Lee - Proceedings of the 2005 ACM SIGMOD …, 2005 - dl.acm.org
This paper proposes a generic framework for monitoring continuous spatial queries over
moving objects. The framework distinguishes itself from existing work by being the first to …

Mining frequent trajectories of moving objects for location prediction

M Morzy - International workshop on machine learning and data …, 2007 - Springer
Advances in wireless and mobile technology flood us with amounts of moving object data
that preclude all means of manual data processing. The volume of data gathered from …

Dynammo: Mining and summarization of coevolving sequences with missing values

L Li, J McCann, NS Pollard, C Faloutsos - Proceedings of the 15th ACM …, 2009 - dl.acm.org
Given multiple time sequences with missing values, we propose DynaMMo which
summarizes, compresses, and finds latent variables. The idea is to discover hidden …

Hierarchical and networked vehicle surveillance in ITS: a survey

B Tian, BT Morris, M Tang, Y Liu, Y Yao… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Traffic surveillance has become an important topic in intelligent transportation systems
(ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer …