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ITNG
2007
IEEE
13 years 10 months ago
Super Iterator A design pattern for Algorithm and Data structure collections
The Super Iterator pattern, like the standard Iterator pattern, traverses an unknown data structure without exposing that structure. With the standard Iterator pattern, clients mu...
Andre Oboler, Charles Twardy, David W. Albrecht
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 5 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 4 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 4 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
11 years 7 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...