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» Rough Sets in Spatio-temporal Data Mining
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TKDE
2008
156views more  TKDE 2008»
13 years 4 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang
ICDM
2007
IEEE
176views Data Mining» more  ICDM 2007»
13 years 8 months ago
A Compact Representation of Spatio-Temporal Data
As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an ...
Sigal Elnekave, Mark Last, Oded Maimon
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 2 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
13 years 11 months ago
k-STARs: Sequences of Spatio-Temporal Association Rules
A Spatio-Temporal Association Rule (STAR) describes how objects move between regions over time. Since they describe only a single movement between two regions, it is very difficu...
Florian Verhein
RSFDGRC
1999
Springer
140views Data Mining» more  RSFDGRC 1999»
13 years 9 months ago
A Rough Set-Based Approach to Text Classification
Alexios Chouchoulas, Qiang Shen