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» Mining association rules in very large clustered domains
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ICTAI
2006
IEEE
14 years 2 months ago
On the Relationships between Clustering and Spatial Co-location Pattern Mining
The goal of spatial co-location pattern mining is to find subsets of spatial features frequently located together in spatial proximity. Example co-location patterns include servi...
Yan Huang, Pusheng Zhang
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 9 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda
ATAL
2005
Springer
14 years 2 months ago
Discovering strategic multi-agent behavior in a robotic soccer domain
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
Andraz Bezek
INFOVIS
2000
IEEE
14 years 1 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...
ICDM
2008
IEEE
190views Data Mining» more  ICDM 2008»
14 years 3 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
Meghana Deodhar, Joydeep Ghosh