Trends and Applications in Knowledge Discovery and Data Mining
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Trends and Applications in Knowledge Discovery and Data Mining
PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers
Li, Jinyan; Wang, Ruili; Cao, Huiping
Springer International Publishing AG
07/2016
282
Mole
Inglês
9783319429953
15 a 20 dias
4569
Descrição não disponível.
Biologically Inspired Data Mining Techniques, BDM.- Machine Learning for Sensory Data Analysis, MLSDA.- Predictive Analytics for Critical Care, PACC.- Data Mining in Business and Finance, WDMBF.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
data mining;kernel methods;neural networks;social recommendation;Web mining;association rules;authentication;clustering;design and analysis of algorithms;e-commerce;evolutionary learning;factorization methods;feature selection;healthcare analytics;machine learning approaches;optimization method;pattern discovery;semi-supervised learning;supervised learning by classification
Biologically Inspired Data Mining Techniques, BDM.- Machine Learning for Sensory Data Analysis, MLSDA.- Predictive Analytics for Critical Care, PACC.- Data Mining in Business and Finance, WDMBF.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
data mining;kernel methods;neural networks;social recommendation;Web mining;association rules;authentication;clustering;design and analysis of algorithms;e-commerce;evolutionary learning;factorization methods;feature selection;healthcare analytics;machine learning approaches;optimization method;pattern discovery;semi-supervised learning;supervised learning by classification
