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DIS
2004
Springer
15 years 3 months ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
EDM
2008
129views Data Mining» more  EDM 2008»
14 years 11 months ago
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study
In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasily...
BMCBI
2008
128views more  BMCBI 2008»
14 years 10 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
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FLAIRS
2003
14 years 11 months ago
Logical Identities Applied to Knowledge Discovery in Databases
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
ICASSP
2009
IEEE
15 years 4 months ago
A scale transform based method for rhythmic similarity of music
This paper introduces scale transforms to measure rhythmic similarity between two musical pieces. The rhythm of a piece of music is described by the scale transform magnitude, com...
Andre Holzapfel, Yannis Stylianou