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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 7 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
109
Voted
ISMIS
2009
Springer
15 years 9 months ago
Discovering Relevant Cross-Graph Cliques in Dynamic Networks
Abstract. Several algorithms, namely CubeMiner, Trias, and DataPeeler, have been recently proposed to mine closed patterns in ternary relations. We consider here the specific cont...
Loïc Cerf, Tran Bao Nhan Nguyen, Jean-Fran&cc...
124
Voted
DAWAK
2004
Springer
15 years 8 months ago
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
Abstract. Due to the dynamic nature of online information, XML documents typically evolve over time. The change of the data values or structures of an XML document may exhibit some...
Ling Chen 0002, Sourav S. Bhowmick, Liang-Tien Chi...
165
Voted
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
15 years 2 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
BMCBI
2007
114views more  BMCBI 2007»
15 years 2 months ago
Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks
Background: Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As ...
Xiaohua Hu, Fang-Xiang Wu