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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 2 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
14 years 3 months ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
14 years 10 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
WWW
2007
ACM
14 years 10 months ago
Demographic prediction based on user's browsing behavior
Demographic information plays an important role in personalized web applications. However, it is usually not easy to obtain this kind of personal data such as age and gender. In t...
Jian Hu, Hua-Jun Zeng, Hua Li, Cheng Niu, Zheng Ch...
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
14 years 10 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...