POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases

Expert Systems with Applications

Volumn 36, Issue 2 PART 2, 2009, Pages 2794-2804

  Qin, Yongsong ^a   Zhang, Shichao ^b,c   Zhu, Xiaofeng ^a   Zhang, Jilian ^a   Zhang, Chengqi ^c  

^a GUANGXI NORMAL UNIVERSITY   (China)

^b SUN YAT SEN UNIVERSITY   (China)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Deterministic regression imputation; Knowledge discovery; Missing value; Random regression imputation

Indexed keywords

AUTOCORRELATION; DATA MINING; DISTRIBUTION FUNCTIONS; INFERENCE ENGINES; REGRESSION ANALYSIS;

DETERMINISTIC REGRESSION IMPUTATION; KNOWLEDGE DISCOVERY FROM DATABASE; MISSING DATA; MISSING DATA IMPUTATIONS; MISSING VALUES; PARAMETER OPTIMIZATION METHODS; RANDOM REGRESSION IMPUTATION; STATISTICAL PARAMETERS;

PARAMETER ESTIMATION;

EID: 56349110355     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.01.059     Document Type: Article

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