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» Using Learning Curves to Mine Student Models
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127
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ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
15 years 10 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
16 years 3 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 9 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
154
Voted
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
16 years 22 days ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
JOT
2007
124views more  JOT 2007»
15 years 3 months ago
Displaying Updated Stock Quotes
This paper describes how to extract stock quote data and display it with a dynamic update (using free, but delayed data streams). As a part of the architecture of the program, we ...
Douglas Lyon