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Herrera, Francisco
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A survey on data preprocessing for data stream mining
Ramírez-Gallego S., Krawczyk B., García S., Woźniak M., Herrera F. Neurocomputing 239 39-57, 2017. Type: Article
Data stream mining has become an important phenomenon with new technologies ranging from patient tracking to stock market investing. Data streams contain data items in temporal order and are potentially endless. Efficient and effective...
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Dec 28 2017
Data preprocessing in data mining
García S., Luengo J., Herrera F., Springer Publishing Company, Incorporated, Cham, Switzerland, 2015. 320 pp. Type: Book (978-3-319102-46-7)
This book is a comprehensive collection of data preprocessing techniques used in data mining. Any readers who practice data mining will find it beneficial, as it provides detailed descriptions of various data preprocessing techniques r...
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Dec 16 2014
Real-coded memetic algorithms with crossover hill-climbing
Lozano M., Herrera F., Krasnogor N., Molina D. Evolutionary Computation 12(3): 273-302, 2004. Type: Article
A major part of evolutionary computing is developing genetic algorithms to find solutions to computing problems. The authors of this paper propose a crossover operator, which extends previous results. The operator genera...
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Aug 4 2005
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