SAC
2002
ACM
14 years 11 days ago
2002
ACM
Many organizations have large quantities of spatial data collected in various application areas, including remote sensing, geographical information systems (GIS), astronomy, compu...
JMLR
2002
14 years 12 days ago
2002
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
IDA
2000
Springer
14 years 16 days ago
2000
Springer
Conventional algorithms for decision tree induction use an attribute-value representation scheme for instances. This paper explores the empirical consequences of using set-valued ...
CORR
2002
Springer
14 years 16 days ago
2002
Springer
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
PR
2008
14 years 20 days ago
2008
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
DATAMINE
2010
14 years 25 days ago
2010
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
AAAI
1994
14 years 2 months ago
1994
We apply decision tree induction to the problem of discourse clue word sense disambiguation. The automatic partitioning of the training set which is intrinsic to decision tree ind...
FLAIRS
2004
14 years 2 months ago
2004
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
CATA
2004
14 years 2 months ago
2004
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
CLA
2007
14 years 2 months ago
2007
The paper presents a new method of decision tree induction based on formal concept analysis (FCA). The decision tree is derived using a concept lattice, i.e. a hierarchy of cluster...