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» Efficient decision tree construction on streaming data
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AIMSA
2000
Springer
13 years 11 months ago
Classification with Belief Decision Trees
Abstract. Decision trees are considered as an efficient technique to express classification knowledge and to use it. However, their most standard algorithms do not deal with uncert...
Zied Elouedi, Khaled Mellouli, Philippe Smets
VLDB
1998
ACM
95views Database» more  VLDB 1998»
13 years 12 months ago
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
Classification of large datasets is an important data mining problem. Many classification algorithms have been proposed in the literature, but studies have shown that so far no al...
Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Gan...
JMLR
2002
102views more  JMLR 2002»
13 years 7 months ago
Efficient Algorithms for Decision Tree Cross-validation
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Hendrik Blockeel, Jan Struyf
PDPTA
2007
13 years 9 months ago
Scalable Overlay Multicast Tree Construction for Media Streaming
Overlay networks have become popular in recent times for content distribution and end-system multicasting of media streams. In the latter case, the motivation is based on the lack...
Gabriel Parmer, Richard West, Gerald Fry
ML
2008
ACM
135views Machine Learning» more  ML 2008»
13 years 7 months ago
Compiling pattern matching to good decision trees
We address the issue of compiling ML pattern matching to compact and efficient decisions trees. Traditionally, compilation to decision trees is optimized by (1) implementing decis...
Luc Maranget