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BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
ICDM
2005
IEEE
149views Data Mining» more  ICDM 2005»
16 years 9 days ago
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
Jin Soung Yoo, Shashi Shekhar, Mete Celik
WAIM
2004
Springer
16 years 1 days 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
DAWAK
2006
Springer
15 years 10 months ago
Efficient Mining of Dissociation Rules
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Mikolaj Morzy
CACM
2000
186views more  CACM 2000»
15 years 6 months ago
Automatic personalization based on Web usage mining
One important class of Data Mining applications is the so-called "Web Mining" that analyzes and extracts important and non-trivial knowledge from Web related data. Typic...
Bamshad Mobasher, Robert Cooley, Jaideep Srivastav...