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KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 8 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
13 years 11 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
WAW
2010
Springer
270views Algorithms» more  WAW 2010»
13 years 5 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
CIKM
2006
Springer
13 years 11 months ago
Knowing a web page by the company it keeps
Web page classification is important to many tasks in information retrieval and web mining. However, applying traditional textual classifiers on web data often produces unsatisfyi...
Xiaoguang Qi, Brian D. Davison
CEC
2009
IEEE
13 years 11 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...