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EDM
2010
145views Data Mining» more  EDM 2010»
13 years 10 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
MM
2010
ACM
127views Multimedia» more  MM 2010»
13 years 9 months ago
Mining and cropping common objects from images
Discovering common objects that appear frequently in a number of images is a challenging problem, due to (1) the appearance variations of the same common object and (2) the enormo...
Gangqiang Zhao, Junsong Yuan
PKDD
2007
Springer
143views Data Mining» more  PKDD 2007»
14 years 2 months ago
Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction
Textual patterns have been used effectively to extract information from large text collections. However they rely heavily on textual redundancy in the sense that facts have to be m...
Sebastian Blohm, Philipp Cimiano
KES
2009
Springer
14 years 3 months ago
A Platform for Extracting and Storing Web Data
The web data or data originated on the Web contain information and knowledge which allows improving web site efficiency and effectiveness to attract and retain visitors. However, w...
L. Víctor Rebolledo, Juan D. Velásqu...
ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
13 years 6 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...