Acquacoltura Pubblicazione scientifica Impute vs. Ignore: Missing values for prediction FILONE TECNOLOGICO TEMA produzione e raccolta RIASSUNTO Sensor faults or communication errors can cause certain sensor readings to become unavailable for prediction purposes. In this paper we evaluate the performance of imputation techniques and techniques that ignore the missing values, in scenarios: (i) when values are missing only during prediction phase, and (ii) when values are missing during both the induction and prediction phase. We also investigated the influence of different scales of missingness on the performance of these treatments. The results can be used as a guideline to facilitate the choice of different missing value treatments under different circumstances. DATA Data di pubblicazione: 01/08/2013 AUTORI QIANYU ZHANG ASHFAQUR RAHMAN CLAIRE D ESTE ENTE DI AFFERENZA INTELL SENSING & SYS LAB CSIRO HOBART TAS AUSTRALIA RIVISTA The 2013 International Joint Conference on Neural Networks (IJCNN) (Page(s): 1-8)