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KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 8 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 8 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
OSDI
2004
ACM
14 years 8 months ago
Program-Counter-Based Pattern Classification in Buffer Caching
Program-counter-based (PC-based) prediction techniques have been shown to be highly effective and are widely used in computer architecture design. In this paper, we explore the op...
Chris Gniady, Ali Raza Butt, Y. Charlie Hu
ICIAP
2005
ACM
14 years 8 months ago
Interactive, Mobile, Distributed Pattern Recognition
As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative appro...
George Nagy
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
14 years 5 months ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...