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» Using PageRank in Feature Selection
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SDM
2012
SIAM
258views Data Mining» more  SDM 2012»
11 years 10 months ago
Feature Selection with Linked Data in Social Media
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
Jiliang Tang, Huan Liu
ESANN
2003
13 years 9 months ago
Searching optimal feature subset using mutual information
A novel feature selection methodology is proposed with the concept of mutual information. The proposed methodology effectively circumvents two major problems in feature selection ...
D. Huang, Tommy W. S. Chow
WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
14 years 2 months ago
Less is more: sampling the neighborhood graph makes SALSA better and faster
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
IJCNN
2008
IEEE
14 years 2 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
WAW
2010
Springer
231views Algorithms» more  WAW 2010»
13 years 5 months ago
Modeling Traffic on the Web Graph
Abstract. Analysis of aggregate and individual Web requests shows that PageRank is a poor predictor of traffic. We use empirical data to characterize properties of Web traffic not ...
Mark R. Meiss, Bruno Gonçalves, Jose J. Ram...