Titlebook: Data Preprocessing in Data Mining; Salvador García,Julián Luengo,Francisco Herrera Book 2015 Springer International Publishing Switzerland

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書目名稱Data Preprocessing in Data Mining影響因子(影響力)學(xué)科排名




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書目名稱Data Preprocessing in Data Mining被引頻次




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書目名稱Data Preprocessing in Data Mining讀者反饋學(xué)科排名

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objection

https://doi.org/10.1007/978-1-4613-0429-6ion (Sect.?.) and the latest Machine Learning based approaches which use algorithms for classification or regression in order to accomplish the imputation (Sect.?.). Finally a comparative experimental study will be carried out in Sect.?..

Regurgitation

Expressly

epicardium

epicardium

ABOUT

Data Sets and Proper Statistical Analysis of Data Mining Techniques,to alleviate the problematic associated to the validation of any supervised method as well as the details of the performance measures that will be used in the rest of the book. Section?. takes a tour of the most common statistical techniques required in the literature to provide meaningful and corre

Arresting

Dealing with Missing Values,ion (Sect.?.) and the latest Machine Learning based approaches which use algorithms for classification or regression in order to accomplish the imputation (Sect.?.). Finally a comparative experimental study will be carried out in Sect.?..

Indicative

Dealing with Noisy Data,rom this point on, the two main approaches carried out in the literature are described. On the first hand, modifying and cleaning the data is studied in Sect.?., whereas designing noise robust Machine Learning algorithms is tackled in Sect.?.. An empirical comparison between the latest approaches in