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» Modeling and Managing Content Changes in Text Databases
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WWW
2010
ACM
14 years 3 months ago
Data summaries for on-demand queries over linked data
Typical approaches for querying structured Web Data collect (crawl) and pre-process (index) large amounts of data in a central data repository before allowing for query answering....
Andreas Harth, Katja Hose, Marcel Karnstedt, Axel ...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 3 months ago
Key semantics extraction by dependency tree mining
We propose a new text mining system which extracts characteristic contents from given documents. We define Key semantics as characteristic sub-structures of syntactic dependencie...
Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, ...
KDD
2008
ACM
211views Data Mining» more  KDD 2008»
14 years 10 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
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
CIKM
2010
Springer
13 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An