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» Data Mining: Machine Learning, Statistics, and Databases
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ECML
2007
Springer
15 years 7 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 2 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 2 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
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
17 years 1 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
IPPS
2008
IEEE
15 years 8 months ago
CoSL: A coordinated statistical learning approach to measuring the capacity of multi-tier websites
Website capacity determination is crucial to measurement-based access control, because it determines when to turn away excessive client requests to guarantee consistent service qu...
Jia Rao, Cheng-Zhong Xu