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» CLOUDS: A Decision Tree Classifier for Large Datasets
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DMIN
2009
136views Data Mining» more  DMIN 2009»
14 years 9 months ago
Evaluating Algorithms for Concept Description
When performing concept description, models need to be evaluated both on accuracy and comprehensibility. A comprehensible concept description model should present the most importan...
Cecilia Sönströd, Ulf Johansson, Tuve L&...
ICMLA
2008
15 years 1 months ago
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
Michael Gashler, Christophe G. Giraud-Carrier, Ton...
CIKM
2001
Springer
15 years 3 months ago
SQL Database Primitives for Decision Tree Classifiers
Scalable data mining in large databases is one of today's challenges to database technologies. Thus, substantial effort is dedicated to a tight coupling of database and data ...
Kai-Uwe Sattler, Oliver Dunemann
QSIC
2007
IEEE
15 years 6 months ago
Automatic Quality Assessment of SRS Text by Means of a Decision-Tree-Based Text Classifier
The success of a software project is largely dependent upon the quality of the Software Requirements Specification (SRS) document, which serves as a medium to communicate user req...
Ishrar Hussain, Olga Ormandjieva, Leila Kosseim
VLDB
1998
ACM
120views Database» more  VLDB 1998»
15 years 3 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim