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IJCAI
2003
13 years 10 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
ICDM
2009
IEEE
161views Data Mining» more  ICDM 2009»
13 years 6 months ago
Understanding Climate Change Patterns with Multivariate Geovisualization
Climate change has been a challenging and urgent research problem for many related research fields. Climate change trends and patterns are complex, which may involve many factors a...
Hai Jin, Diansheng Guo
DMIN
2006
239views Data Mining» more  DMIN 2006»
13 years 10 months ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung
ADVIS
2004
Springer
14 years 2 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
VIP
2000
13 years 10 months ago
A System for Geographical and Spatial Data Exploration on the Internet
Developing a detailed 3D conceptual spatial data model and incorporating it for visualization, is a promising method of Spatial Data Exploration for a variety of applications espe...
Celyn S. L. Chan, Tony K. Y. Chan, Edmond Cyril Pr...