Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation

@misc{citeulike:1670336, abstract = {ata collection often results in records that have missing values or variables. This investigation compares 3 different data imputation models and identifies their merits by using accuracy measures. Autoencoder Neural Networks, Principal components and Support Vector regression are used for prediction and combined with a genetic algorithm to then impute missing variables. The use of PCA improves the overall performance of the autoencoder network while the use of support vector regression shows promising potential for future investigation. Accuracies of up to 97.4 \% on imputation of some of the variables were achieved.}, author = {Marivate, Vukosi N. and Nelwamodo, Fulufhelo V. and Marwala, Tshilidzi }, citeulike-article-id = {1670336}, eprint = {0709.2506}, keywords = {data, imputation, regression, support, vector}, month = {Sep}, posted-at = {2007-09-18 21:17:58}, priority = {2}, title = {Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation}, url = {http://arxiv.org/abs/0709.2506}, year = {2007} }

TY - ELEC ID - citeulike:1670336 L3 - citeulike-article-id:1670336 TI - Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation N2 - ata collection often results in records that have missing values or variables. This investigation compares 3 different data imputation models and identifies their merits by using accuracy measures. Autoencoder Neural Networks, Principal components and Support Vector regression are used for prediction and combined with a genetic algorithm to then impute missing variables. The use of PCA improves the overall performance of the autoencoder network while the use of support vector regression shows promising potential for future investigation. Accuracies of up to 97.4 % on imputation of some of the variables were achieved. KW - data KW - imputation KW - regression KW - support KW - vector AU - Marivate, Vukosi AU - Nelwamodo, Fulufhelo AU - Marwala, Tshilidzi PY - 2007/Sep/16/ UR - http://arxiv.org/abs/0709.2506 ER -