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» Using Anonymized Data for Classification
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IFIP12
2008
15 years 4 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
FUIN
2006
107views more  FUIN 2006»
15 years 3 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
JBI
2008
104views Bioinformatics» more  JBI 2008»
15 years 3 months ago
Ontology-enhanced automatic chief complaint classification for syndromic surveillance
Emergency department free-text chief complaints (CCs) are a major data source for syndromic surveillance. CCs need to be classified into syndromic categories for subsequent automa...
Hsin-Min Lu, Daniel Zeng, Lea Trujillo, Ken Komats...
227
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SRDS
2010
IEEE
15 years 1 months ago
An Entity-Centric Approach for Privacy and Identity Management in Cloud Computing
Entities (e.g., users, services) have to authenticate themselves to service providers (SPs) in order to use their services. An entity provides personally identifiable information (...
Pelin Angin, Bharat K. Bhargava, Rohit Ranchal, No...
CVPR
2007
IEEE
16 years 5 months ago
Joint Object Segmentation and Behavior Classification in Image Sequences
In this paper, we propose a general framework for fusing bottom-up segmentation with top-down object behavior classification over an image sequence. This approach is beneficial fo...
Laura Gui, Jean-Philippe Thiran, Nikos Paragios