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» Mining Several Data Bases with an Ensemble of Classifiers
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BMCBI
2008
208views more  BMCBI 2008»
13 years 8 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 8 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 8 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
BMCBI
2010
153views more  BMCBI 2010»
13 years 8 months ago
PPLook: an automated data mining tool for protein-protein interaction
Background: Extracting and visualizing of protein-protein interaction (PPI) from text literatures are a meaningful topic in protein science. It assists the identification of inter...
Shao-Wu Zhang, Yao-Jun Li, Li Xia, Quan Pan
ICCS
2007
Springer
14 years 1 months ago
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MIN...
Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric...