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» Data Mining for Genetics: A Genetic Algorithm Approach
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141
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 1 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
144
Voted
ICTAI
2006
IEEE
15 years 9 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
214
Voted
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
16 years 4 months ago
Trajectory Outlier Detection: A Partition-and-Detect Framework
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
Jae-Gil Lee, Jiawei Han, Xiaolei Li
177
Voted
JAISE
2010
182views Algorithms» more  JAISE 2010»
14 years 10 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson
131
Voted
BMCBI
2006
116views more  BMCBI 2006»
15 years 3 months ago
Whole genome association mapping by incompatibilities and local perfect phylogenies
Background: With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of ...
Thomas Mailund, Søren Besenbacher, Mikkel H...