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TKDE
2008
156views more  TKDE 2008»
13 years 5 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
2010
IEEE
185views Data Mining» more  ICDM 2010»
13 years 3 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 13 days ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
KDD
1998
ACM
160views Data Mining» more  KDD 1998»
13 years 10 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 6 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe