Titlebook: Data Analytics; Models and Algorithm Thomas A. Runkler Textbook 20203rd edition Springer Fachmedien Wiesbaden GmbH, part of Springer Nature

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書目名稱Data Analytics影響因子(影響力)




書目名稱Data Analytics影響因子(影響力)學(xué)科排名




書目名稱Data Analytics網(wǎng)絡(luò)公開度




書目名稱Data Analytics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Analytics被引頻次




書目名稱Data Analytics被引頻次學(xué)科排名




書目名稱Data Analytics年度引用




書目名稱Data Analytics年度引用學(xué)科排名




書目名稱Data Analytics讀者反饋




書目名稱Data Analytics讀者反饋學(xué)科排名

駁船

反叛者

Data Preprocessing,bly heterogeneous information sources. We distinguish deterministic and stochastic errors. Deterministic errors can sometimes be easily corrected. Inliers and outliers may be identified and removed or corrected. Inliers, outliers, or noise can be reduced by filtering. We distinguish many different f

替代品

說(shuō)笑

Correlation,ependencies. Nonlinear correlation methods are able to detect nonlinear dependencies but need to be carefully parametrized. As a popular example for nonlinear correlation we present the chi-square test for independence that can be applied to continuous features using histogram counts. Nonlinear corr

Condyle

Regression,d to linear dependencies. Substitution allows to identify specific types of nonlinear dependencies by linear regression. Robust regression finds models that are robust against inliers or outliers. A popular class of nonlinear regression methods are universal approximators. We present two well-known

Condyle

Judicious

Crohns-disease

從容