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ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 6 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
13 years 7 months ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
EDM
2008
288views Data Mining» more  EDM 2008»
15 years 6 months ago
Data Mining Algorithms to Classify Students
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
Cristóbal Romero, Sebastián Ventura,...
ICCV
2007
IEEE
16 years 7 months ago
Discriminative Subsequence Mining for Action Classification
Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a ...
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsud...
AH
2008
Springer
15 years 11 months ago
Analysing High-Level Help-Seeking Behaviour in ITSs
Abstract. In this paper, we look at initial results of data mining students’ help-seeking behaviour in two ITSs: SQL-Tutor and EER-Tutor. We categorised help given by these tutor...
Moffat Mathews, Tanja Mitrovic, David Thomson