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CHI
2009
ACM
14 years 11 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...
IJCAI
1997
14 years 5 days ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
IEAAIE
2004
Springer
14 years 4 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
14 years 5 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
HASE
1998
IEEE
14 years 3 months ago
Formal Specification in Collaborative Design of Critical Software Tools
Engineers use software tools to analyze designs for critical systems. Because important decisions are based on tool results, tools must provide valid modeling constructs; engineer...
David Coppit, Kevin J. Sullivan