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» Mining Frequent Itemsets Using Support Constraints
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CONSTRAINTS
2008
182views more  CONSTRAINTS 2008»
13 years 7 months ago
Constraint Programming in Structural Bioinformatics
Bioinformatics aims at applying computer science methods to the wealth of data collected in a variety of experiments in life sciences (e.g. cell and molecular biology, biochemistry...
Pedro Barahona, Ludwig Krippahl
CINQ
2004
Springer
225views Database» more  CINQ 2004»
14 years 27 days ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci
GIS
2004
ACM
14 years 8 months ago
A partial join approach for mining co-location patterns
Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
Jin Soung Yoo, Shashi Shekhar
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
14 years 8 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario