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GIS
2006
ACM
14 years 5 months ago
Mining frequent geographic patterns with knowledge constraints
The large amount of patterns generated by frequent pattern mining algorithms has been extensively addressed in the last few years. In geographic pattern mining, besides the large ...
Luis Otávio Alvares, Paulo Martins Engel, S...
ICDM
2006
IEEE
113views Data Mining» more  ICDM 2006»
13 years 11 months ago
Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints
In frequent geographic pattern mining a large amount of patterns is well known a priori. This paper presents a novel approach for mining frequent geographic patterns without assoc...
Vania Bogorny, João Francisco Valiati, Sand...
ICDE
2007
IEEE
104views Database» more  ICDE 2007»
13 years 11 months ago
Filtering Frequent Spatial Patterns with Qualitative Spatial Reasoning
In frequent geographic pattern mining a large amount of patterns can be non-novel and non-interesting. This problem has been addressed recently, and background knowledge is used t...
Vania Bogorny, Bart Moelans, Luis Otávio Al...
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
14 years 6 months ago
Go Green: Recycle and Reuse Frequent Patterns
In constrained data mining, users can specify constraints that can be used to prune the search space to avoid mining uninteresting knowledge. Since it is difficult to determine th...
Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. ...
ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
13 years 11 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han