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KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 6 months ago
Multi-class cost-sensitive boosting with p-norm loss functions
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
Aurelie C. Lozano, Naoki Abe
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
16 years 11 min ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
PAKDD
2004
ACM
121views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Secure Association Rule Sharing
Abstract. The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal stra...
Stanley R. M. Oliveira, Osmar R. Zaïane, Y&uu...
EDM
2009
153views Data Mining» more  EDM 2009»
15 years 4 months ago
Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory proce...
Vasile Rus, Mihai C. Lintean, Roger Azevedo
CHI
2010
ACM
16 years 1 months ago
iCanDraw: using sketch recognition and corrective feedback to assist a user in drawing human faces
When asked to draw, many people are hesitant because they consider themselves unable to draw well. This paper describes the first system for a computer to provide direction and fe...
Daniel Dixon, Manoj Prasad, Tracy Hammond