Trajectory data mining: an overview
Y Zheng - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …
Vehicle trajectory similarity: Models, methods, and applications
The increasing availability of vehicular trajectory data is at the core of smart mobility
solutions. Such data offer us unprecedented information for the development of trajectory …
solutions. Such data offer us unprecedented information for the development of trajectory …
Probabilistic nearest neighbor queries on uncertain moving object trajectories
Nearest neighbor (NN) queries in trajectory databases have received significant attention in
the past, due to their application in spatio-temporal data analysis. Recent work has …
the past, due to their application in spatio-temporal data analysis. Recent work has …
Sampling big trajectory data
The increasing prevalence of sensors and mobile devices has led to an explosive increase
of the scale of spatio-temporal data in the form of trajectories. A trajectory aggregate query …
of the scale of spatio-temporal data in the form of trajectories. A trajectory aggregate query …
On efficiently finding reverse k-nearest neighbors over uncertain graphs
Reverse k-nearest neighbor (R k NN R k NN) query on graphs returns the data objects that
take a specified query object q as one of their k-nearest neighbors. It has significant …
take a specified query object q as one of their k-nearest neighbors. It has significant …
Exploiting integrity constraints for cleaning trajectories of RFID-monitored objects
A probabilistic framework for cleaning the data collected by Radio-Frequency IDentification
(RFID) tracking systems is introduced. What has to be cleaned is the set of trajectories that …
(RFID) tracking systems is introduced. What has to be cleaned is the set of trajectories that …
Reverse-nearest neighbor queries on uncertain moving object trajectories
Reverse nearest neighbor (RNN) queries in spatial and spatio-temporal databases have
received significant attention in the database research community over the last decade. A …
received significant attention in the database research community over the last decade. A …
Representing and processing lineages over uncertain data based on the Bayesian network
K Yue, H Wu, W Liu, Y Zhu - Applied Soft Computing, 2015 - Elsevier
Processing lineages (also called provenances) over uncertain data consists in tracing the
origin of uncertainty based on the process of data production and evolution. In this paper, we …
origin of uncertainty based on the process of data production and evolution. In this paper, we …
Probabilistic object deputy model for uncertain data and lineage management
L Wang, L Wang, Z Peng - Data & Knowledge Engineering, 2017 - Elsevier
Lineage is important in uncertain data management since it can be used for finding out
which part of data contributes to a result and computing the probability of the result …
which part of data contributes to a result and computing the probability of the result …
Dynamic reverse furthest neighbor querying algorithm of moving objects
With the development of wireless communications and positioning technologies, locations of
moving objects are highly demanding services. The assumption of static data is majorly …
moving objects are highly demanding services. The assumption of static data is majorly …