7053 search results - page 1096 / 1411 » Data Mining |
195
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Studying the association between quantitative phenotype (such as height or weight) and single nucleotide polymorphisms (SNPs) is an important problem in biology. To understand und...
208
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
196
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
164
Voted
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
197
click to vote
KDD
2005
ACM
16 years 7 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...