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» Feature Extraction for Massive Data Mining
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MICCAI
2009
Springer
16 years 5 months ago
Constructing a Dictionary of Human Brain Folding Patterns
Abstract. Brain imaging provides a wealth of information that computers can explore at a massive scale. Categorizing the patterns of the human cortex has been a challenging issue f...
Zhong Yi Sun, Matthieu Perrot, Alan Tucholka, Deni...
IEAAIE
2010
Springer
15 years 2 months ago
Web Usage Mining for Improving Students Performance in Learning Management Systems
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
Amelia Zafra, Sebastián Ventura
IJKDB
2010
162views more  IJKDB 2010»
15 years 1 months ago
New Trends in Graph Mining: Structural and Node-Colored Network Motifs
Searching for repeated features characterizing biological data is fundamental in computational biology. When biological networks are under analysis, the presence of repeated modul...
Francesco Bruno, Luigi Palopoli, Simona E. Rombo
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 8 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman