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RCIS
2010
15 years 19 days ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 2 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
PPOPP
2006
ACM
15 years 8 months ago
Performance characterization of molecular dynamics techniques for biomolecular simulations
Large-scale simulations and computational modeling using molecular dynamics (MD) continues to make significant impacts in the field of biology. It is well known that simulations...
Sadaf R. Alam, Jeffrey S. Vetter, Pratul K. Agarwa...
WWW
2006
ACM
16 years 2 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
KDD
2009
ACM
237views Data Mining» more  KDD 2009»
16 years 2 months ago
Exploring social tagging graph for web object classification
This paper studies web object classification problem with the novel exploration of social tags. Automatically classifying web objects into manageable semantic categories has long ...
Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han
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