Probabilistic Value Selection for Space Efficient Model

• Main Authors: NJOO, Gunarto Sindoro, ZHENG, Baihua, HSU, Kuo-Wei, PENG, Wen-Chih
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: preprocessing; data mining; value selection; model size reduction; entropy; information theory; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5264; https://ink.library.smu.edu.sg/context/sis_research/article/6267/viewcontent/6._Probabilistic_Value_Selection_for_Space_Efficient__IEEE_MDM2020_.pdf
• Institution: Singapore Management University

An alternative to current mainstream preprocessing methods is proposed: Value Selection (VS). Unlike the existing methods such as feature selection that removes features and instance selection that eliminates instances, value selection eliminates the values (with respect to each feature) in the data...