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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 6 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ITS
1998
Springer
129views Multimedia» more  ITS 1998»
15 years 7 months ago
Cognitive Measures for Visual Concept Teaching with Intelligent Tutoring Systems
Abstract: This article reports on the application of general cognitive measures to describe and order the knowledge base of radiological images, aimed at the teaching of visual con...
Andrey R. Pimentel, Alexandre I. Direne
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 4 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
231
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ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
15 years 9 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
143
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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 5 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...