Results 221 to 230 of about 193,873 (254)

GBKII: An Imputation Method for Missing Values

2007
Missing data imputation is an actual and challenging issue in machine learning and data mining. This is because missing values in a dataset can generate bias that affects the quality of the learned patterns or the classification performances. To deal with this issue, this paper proposes a Grey-Based K-NN Iteration Imputation method, called GBKII, for ...
Chengqi Zhang, Xiaofeng Zhu 0001, Jilian Zhang, Yongsong Qin, Shichao Zhang 0001   +4 more
openaire   +2 more sources

A new method for estimating variance from data imputed with ratio method of imputation

Statistics & Probability Letters, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnab, Raghunath, Singh, Sarjinder
openaire   +2 more sources

Imputation methods for incomplete data

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015
Although sometimes encounter data sets that contain one or more missing feature values (incomplete data). Many existing industrial and research data sets contain missing values due to various reasons, such as manual data entry procedures, equipment errors and incorrect measurements.
Vaishali H. Umathe, Gauri Chaudhary
openaire   +1 more source

FIGAN: A Missing Industrial Data Imputation Method Customized for Soft Sensor Application

IEEE Transactions on Automation Science and Engineering, 2022
Chunhui Zhao
exaly  

An Effective Ensemble Method for Missing Data Imputation

International Journal of Information and Computer Security, 2022
Bikash Baruah, Manash Pratim Dutta, Dhruba K. Bhattacharyya   +2 more
openaire   +1 more source

HIOC: a hybrid imputation method to predict missing values in medical datasets

International Journal of Intelligent Computing and Cybernetics, 2021
Anurag Jain, Pooja Rani
exaly  

Deep learning versus conventional methods for missing data imputation: A review and comparative study

Expert Systems With Applications, 2023
Tingting Zhang
exaly  

Imputation Method for Multidimensional Data

2023 3rd International Conference on Intelligent Technologies (CONIT), 2023
Jay Naik, Anil Jadhav
openaire   +1 more source

Comparison of imputation and imputation-free methods for statistical analysis of mass spectrometry data with missing data.

Briefings in Bioinformatics, 2022
Sandra L. Taylor, Kyoungmi Kim, Machelle Wilson   +2 more
exaly  

A bi-objective -nearest-neighbors-based imputation method for multilevel data

Expert Systems With Applications, 2022
Jesper Wulff, Sanne Wøhlk, Maximiliano Cubillos   +2 more
exaly