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» Comparing the Performance of Database Selection Algorithms
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141
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ICMLC
2010
Springer
15 years 11 days ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
VLDB
2007
ACM
105views Database» more  VLDB 2007»
15 years 8 months ago
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance
There are many emerging database applications that require accurate selectivity estimation of approximate string matching queries. Edit distance is one of the most commonly used s...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
113
Voted
DEXA
2003
Springer
91views Database» more  DEXA 2003»
15 years 7 months ago
NLC: A Measure Based on Projections
In this paper, we propose a new feature selection criterion. It is based on the projections of data set elements onto each attribute. The main advantages are its speed and simplici...
Roberto Ruiz, José Cristóbal Riquelm...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 2 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
AUSAI
2011
Springer
14 years 2 months ago
Image Feature Selection Based on Ant Colony Optimization
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm ...
Ling Chen, Bolun Chen, Yixin Chen