Handling missing values via decomposition of the conditioned set Conference

Shyu, ML, Kuruppu-Appuhamilage, IP, Chen, SC et al. (2005). Handling missing values via decomposition of the conditioned set . 2005 199-204. 10.1109/IRI-05.2005.1506473

cited authors

  • Shyu, ML; Kuruppu-Appuhamilage, IP; Chen, SC; Chang, LW

fiu authors

abstract

  • In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly improve the performance of any data mining algorithm in various applications. Our proposed framework adopts the basic concepts from conditional probability theories and further develops an algorithm to facilitate the capability of handling both nominal and numerical values, which addresses the problem of the inability of handling both nominal and numerical values with a high degree of accuracy in the existing algorithms. Several experiments are conducted and the experimental results demonstrate that our framework provides a high accuracy when compared with most of the commonly used algorithms such as using the average value, using the maximum value, and using the minimum value to replace missing values. © 2005 IEEE.

publication date

  • December 1, 2005

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 10

  • 0780390938

International Standard Book Number (ISBN) 13

  • 9780780390935

start page

  • 199

end page

  • 204

volume

  • 2005