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BMCBI
2008
164views more  BMCBI 2008»
13 years 10 months ago
MeInfoText: associated gene methylation and cancer information from text mining
Background: DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a va...
Yu-Ching Fang, Hsuan-Cheng Huang, Hsueh-Fen Juan
CIKM
2006
Springer
14 years 1 months ago
Validating associations in biological databases
To cope with the large amount of biological sequences being produced, a significant number of genes and proteins have been annotated by automated tools. A protein annotation is an...
Francisco M. Couto, Mário J. Silva, Pedro C...
AUSAI
2004
Springer
14 years 1 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
KDD
1997
ACM
78views Data Mining» more  KDD 1997»
14 years 2 months ago
Mining Generalized Term Associations: Count Propagation Algorithm
We presenthere an approachand algorithm for mining generalizedterm associations.The problem is to find co-occurrencefrequenciesof terms, given a collection of documents eachwith r...
Jonghyun Kahng, Wen-Hsiang Kevin Liao, Dennis McLe...
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 9 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu