Evaluation of missing values imputation methods towards the effectiveness of asset valuation prediction model

• Main Authors: Mohd Jaya, Mohd Izham, Sidi, Fatimah, Affendey, Lilly Suriani, Ishak, Iskandar, A. Jabar, Marzanah
• Format: Conference or Workshop Item
• Language: English
• Published: Database Technologies and Applications Research Group (DbTA), Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/75514/1/ISICTMA2019-2.pdf; http://psasir.upm.edu.my/id/eprint/75514/
• Institution: Universiti Putra Malaysia

Missing values is a common problem found in dataset from any field of research. A data value in a dataset can be missing due to numerous reasons such as non-response items in the interview and survey, equipment malfunction, human error and faulty data transmission. The occurrence of missing values i...