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» Graph Mining based on a Data Partitioning Approach
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PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
15 years 10 months ago
When does Co-training Work in Real Data?
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
Charles X. Ling, Jun Du, Zhi-Hua Zhou
133
Voted
BMCBI
2008
185views more  BMCBI 2008»
15 years 3 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
157
Voted
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
15 years 10 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
WWW
2008
ACM
15 years 3 months ago
Discovering co-located queries in geographic search logs
A geographic search request contains a query consisting of one or more keywords, and a search-location that the user searches for. In this paper, we study the problem of discoveri...
Xiangye Xiao, Longhao Wang, Xing Xie, Qiong Luo
117
Voted
WAIM
2004
Springer
15 years 8 months ago
Mining Web Sequential Patterns Incrementally with Revised PLWAP Tree
Since point and click at web pages generate continuous data stream, which flow into web log data, old patterns may be stale and need to be updated. Algorithms for mining web seque...
Christie I. Ezeife, Min Chen