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KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 7 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
WWW
2006
ACM
14 years 8 months ago
Finding visual concepts by web image mining
We propose measuring "visualness" of concepts with images on the Web, that is, what extent concepts have visual characteristics. This is a new application of "Web i...
Keiji Yanai, Kobus Barnard
AUSDM
2008
Springer
271views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Classification of Brain-Computer Interface Data
In this paper we investigate the classification of mental tasks based on electroencephalographic (EEG) data for Brain Computer Interfaces (BCI) in two scenarios: off line and on-l...
Omar AlZoubi, Irena Koprinska, Rafael A. Calvo
DMIN
2006
157views Data Mining» more  DMIN 2006»
13 years 8 months ago
Data Mining of Air Traffic Control Operational Errors
In this paper we present the results of applying data mining techniques to identify patterns and anomalies in air traffic control operational errors (OEs). Reducing the OE rate is ...
Zohreh Nazeri
CE
2008
160views more  CE 2008»
13 years 7 months ago
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Cristóbal Romero, Sebastián Ventura,...