A review of quantitative methods for movement data
The collection, visualization, and analysis of movement data is at the forefront of geographic
information science research. Movement data are generally collected by recording an …
information science research. Movement data are generally collected by recording an …
[图书][B] Data mining: concepts and techniques
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 …
methods for mining patterns, knowledge, and models from various kinds of data for diverse …
Time-focused clustering of trajectories of moving objects
M Nanni, D Pedreschi - Journal of Intelligent Information Systems, 2006 - Springer
Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near
future, due to both technological and social/commercial reasons. From the data mining …
future, due to both technological and social/commercial reasons. From the data mining …
On discovering moving clusters in spatio-temporal data
A moving cluster is defined by a set of objects that move close to each other for a long time
interval. Real-life examples are a group of migrating animals, a convoy of cars moving in a …
interval. Real-life examples are a group of migrating animals, a convoy of cars moving in a …
On discovery of gathering patterns from trajectories
The increasing pervasiveness of location-acquisition technologies has enabled collection of
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
Online discovery of gathering patterns over trajectories
The increasing pervasiveness of location-acquisition technologies has enabled collection of
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
huge amount of trajectories for almost any kind of moving objects. Discovering useful …
SINA: Scalable incremental processing of continuous queries in spatio-temporal databases
This paper intoduces the Scalable INcremental hash-based Algorithm (SINA, for short); a
new algorithm for evaluting a set of concurrent continuous spatio-temporal queries. SINA is …
new algorithm for evaluting a set of concurrent continuous spatio-temporal queries. SINA is …
Continuous clustering of moving objects
This paper considers the problem of efficiently maintaining a clustering of a dynamic set of
data points that move continuously in two-dimensional Euclidean space. This problem has …
data points that move continuously in two-dimensional Euclidean space. This problem has …
Differential privacy for location pattern mining
SS Ho, S Ruan - Proceedings of the 4th ACM SIGSPATIAL International …, 2011 - dl.acm.org
One main concern for individuals to participate in the data collection of personal location
history records is the disclosure of their location and related information when a user queries …
history records is the disclosure of their location and related information when a user queries …
Detecting urban black holes based on human mobility data
Many types of human mobility data, such as flows of taxicabs, card swiping data of subways,
bike trip data and Call Details Records (CDR), can be modeled by a Spatio-Temporal Graph …
bike trip data and Call Details Records (CDR), can be modeled by a Spatio-Temporal Graph …