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WEBI
2005
Springer
16 years 5 days ago
Real-Time Learning Behavior Mining for e-Learning
Over the last years, we have witnessed an explosive growth of e-learning. More and more learning contents have been published and shared over the Internet. Therefore, how to progr...
Yen-Hung Kuo, Juei-Nan Chen, Yu-Lin Jeng, Yueh-Min...
164
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DIS
2004
Springer
16 years 2 days ago
Mining Noisy Data Streams via a Discriminative Model
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Fang Chu, Yizhou Wang, Carlo Zaniolo
DIS
2004
Springer
16 years 2 days ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
KES
2004
Springer
16 years 1 days ago
Consumer Behavior Analysis by Graph Mining Technique
In this paper we discuss how graph mining system is applied to sales transaction data so as to understand consumer behavior. First, existing research of consumer behavior analysis ...
Katsutoshi Yada, Hiroshi Motoda, Takashi Washio, A...
PKDD
2004
Springer
147views Data Mining» more  PKDD 2004»
16 years 1 days ago
Using a Hash-Based Method for Apriori-Based Graph Mining
The problem of discovering frequent subgraphs of graph data can be solved by constructing a candidate set of subgraphs first, and then, identifying within this candidate set those...
Phu Chien Nguyen, Takashi Washio, Kouzou Ohara, Hi...