1913 search results - page 301 / 383 » Using Data Mining in MURA Graphic Problems |
110
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KDD
2006
ACM
16 years 8 days 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...
DILS
2005
Springer
15 years 5 months ago
2005
Springer
We have been developing a system for comparing multiple genomes, PLATCOM, where users can choose genomes of their choice freely and perform analysis of the selected genomes with a...
KDD
2010
ACM
15 years 3 months ago
2010
ACM
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
109
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KDD
2005
ACM
16 years 8 days 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...
126
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...