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102
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ESWA
2008
128views more  ESWA 2008»
15 years 15 days ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 26 days ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
161
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DAWAK
2011
Springer
14 years 7 days ago
OLAP Formulations for Supporting Complex Spatial Objects in Data Warehouses
In recent years, there has been a large increase in the amount of spatial data obtained from remote sensing, GPS receivers, communication terminals and other domains. Data warehous...
Ganesh Viswanathan, Markus Schneider
103
Voted
GEOINFORMATICA
2006
102views more  GEOINFORMATICA 2006»
15 years 13 days ago
Mining Co-Location Patterns with Rare Events from Spatial Data Sets
Abstract A co-location pattern is a group of spatial features/events that are frequently co-located in the same region. For example, human cases of West Nile Virus often occur in r...
Yan Huang, Jian Pei, Hui Xiong
80
Voted
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
15 years 7 months ago
Spatiotemporal Relational Random Forests
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
Timothy A. Supinie, Amy McGovern, John Williams, J...