Mining incomplete survey data through classification
By Hai Wang, Shouhong Wang. 2010
52 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Salvador Garcia
- Francisco Herrera
- Prof.Dr.Shirish S. Sane
- Jagriti Singh
- Enrique Herrera-Viedma
- Luis Martínez-López
- Zeshui Xu
- Francisco Chiclana
In Information Systems
- Salvador Garcia
- Francisco Herrera
- José Manuel Benítez
- Prof.Dr.Shirish S. Sane
- Sergio Ramírez-Gallego
- Julián Luengo
- Jagriti Singh
- Verónica Bolón-Canedo
In Signal Processing
- Prof.Dr.Shirish S. Sane
- Francisco Herrera
- Jagriti Singh
- Salvador Garcia
- Enrique Herrera-Viedma
- Francisco Chiclana
Citations in the corpus
- Big data preprocessing: methods and prospects (2016, background): “Inappropriately handling the missing values will easily lead to poor knowledge extracted and also wrong conclusions [19].”
- Preprocessing Technique for Discrimination Prevention in Data Mining (2014, methodology): “A conceptual foundation of data mining with incomplete data through classification was presented in 2010by H Wang, S Wang [7] which was relevant to a specific decision making problem.”