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117
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CHI
2009
ACM
16 years 4 months ago
Predicting shoppers' interest from social interactions using sociometric sensors
Marketing research has longed for better ways to measure consumer behavior. In this paper, we explore using sociometric data to study social behaviors of group shoppers. We hypoth...
James Begole, Maurice Chu, Oliver Brdiczka, Taemie...
110
Voted
AUSAI
2007
Springer
15 years 9 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan
135
Voted
ICIP
2008
IEEE
16 years 5 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
120
Voted
PAKDD
2010
ACM
179views Data Mining» more  PAKDD 2010»
15 years 8 months ago
Answer Diversification for Complex Question Answering on the Web
We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weig...
Palakorn Achananuparp, Xiaohua Hu, Tingting He, Ch...
130
Voted
EDM
2009
114views Data Mining» more  EDM 2009»
15 years 1 months ago
Reducing the Knowledge Tracing Space
In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-pa...
Steven Ritter, Thomas K. Harris, Tristan Nixon, Da...