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» Defining the Goals to Optimise Data Mining Performance
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 8 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
COR
2010
123views more  COR 2010»
13 years 7 months ago
Decomposition, reformulation, and diving in university course timetabling
In many real-life optimisation problems, there are multiple interacting components in a solution. For example, different components might specify assignments to different kinds of...
Edmund K. Burke, Jakub Marecek, Andrew J. Parkes, ...
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 7 months ago
Dynamic index selection in data warehouses
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
Stéphane Azefack, Kamel Aouiche, Jér...
SDM
2008
SIAM
197views Data Mining» more  SDM 2008»
13 years 9 months ago
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley