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ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
15 years 10 months ago
Combining Collective Classification and Link Prediction
The problems of object classification (labeling the nodes of a graph) and link prediction (predicting the links in a graph) have been largely studied independently. Commonly, obje...
Mustafa Bilgic, Galileo Namata, Lise Getoor
AUSDM
2006
Springer
137views Data Mining» more  AUSDM 2006»
15 years 10 months ago
A Study of Local and Global Thresholding Techniques in Text Categorization
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
Nayer M. Wanas, Dina A. Said, Nevin M. Darwish, Na...
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
AUSDM
2006
Springer
85views Data Mining» more  AUSDM 2006»
15 years 10 months ago
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
The importance of predicting Web users' behaviour and their next movement has been recognised and discussed by many researchers lately. Association rules and Markov models ar...
Faten Khalil, Jiuyong Li, Hua Wang
171
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DAWAK
2006
Springer
15 years 10 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
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