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» Using Data Mining in MURA Graphic Problems
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SDM
2012
SIAM
273views Data Mining» more  SDM 2012»
13 years 7 months ago
A Framework for the Evaluation and Management of Network Centrality
Network-analysis literature is rich in node-centrality measures that quantify the centrality of a node as a function of the (shortest) paths of the network that go through it. Exi...
Vatche Ishakian, Dóra Erdös, Evimaria ...
138
Voted
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 4 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
155
Voted
GPEM
2006
97views more  GPEM 2006»
15 years 4 months ago
Evolving recursive programs by using adaptive grammar based genetic programming
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
Man Wong
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
15 years 10 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
178
Voted
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 7 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...