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ICTAI
2002
IEEE
13 years 9 months ago
Error-Based Pruning of Decision Trees Grown on Very Large Data Sets Can Work!
Lawrence O. Hall, Richard Collins, Kevin W. Bowyer...
VLDB
1998
ACM
120views Database» more  VLDB 1998»
13 years 9 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
SAC
2005
ACM
13 years 10 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
ESANN
2004
13 years 6 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
VVS
1995
IEEE
132views Visualization» more  VVS 1995»
13 years 8 months ago
Multi-Dimensional Trees for Controlled Volume Rendering and Compression
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Jane Wilhelms, Allen Van Gelder