Sciweavers

1413 search results - page 140 / 283
» Mining Multiple Large Databases
Sort
View
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 2 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
136
Voted
BMCBI
2007
164views more  BMCBI 2007»
15 years 2 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
148
Voted
VLDB
2005
ACM
121views Database» more  VLDB 2005»
15 years 8 months ago
Improving Database Performance on Simultaneous Multithreading Processors
Simultaneous multithreading (SMT) allows multiple threads to supply instructions to the instruction pipeline of a superscalar processor. Because threads share processor resources,...
Jingren Zhou, John Cieslewicz, Kenneth A. Ross, Mi...
111
Voted
CORR
2007
Springer
151views Education» more  CORR 2007»
15 years 2 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
ICDM
2006
IEEE
146views Data Mining» more  ICDM 2006»
15 years 8 months ago
Boosting Kernel Models for Regression
This paper proposes a general boosting framework for combining multiple kernel models in the context of both classification and regression problems. Our main approach is built on...
Ping Sun, Xin Yao