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» Efficient decision tree construction on streaming data
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VLDB
1998
ACM
120views Database» more  VLDB 1998»
13 years 12 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
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
13 years 5 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
ICML
1996
IEEE
14 years 8 months ago
Learning Relational Concepts with Decision Trees
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
Peter Geibel, Fritz Wysotzki
AINA
2006
IEEE
14 years 1 months ago
HyMoNet: a peer-to-peer hybrid multicast overlay network for efficient live media streaming
This paper presents HyMoNet, a peer-to-peer hybrid multicast overlay network for efficient live media streaming. The system comprises two parts: service infrastructure and user sp...
Bin Chang, Yuanchun Shi, Nan Zhang
IJAR
2010
189views more  IJAR 2010»
13 years 6 months ago
A fuzzy random forest
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
Piero P. Bonissone, José Manuel Cadenas, M....