Real name: 
Yicheng Yang
Congratulations! You are an IEEE DataPort Subscriber! Your benefits as a subscriber include full access to all IEEE DataPort datasets. You may also upload your own datasets to IEEE DataPort (up to 2TB) and/or consider initiating a Competition on IEEE DataPort.  Thank you!
First Name: 
Yicheng
Last Name: 
Yang

Datasets & Competitions

Incomplete datasets for UP-FHDI

Parallel fractional hot-deck imputation (P-FHDI) is a general-purpose, assumption-free tool for handling item nonresponse in big incomplete data by combining the theory of FHDI and parallel computing. FHDI cures multivariate missing data by filling each missing unit with multiple observed values (thus, hot-deck) without resorting to distributional assumptions. P-FHDI can tackle big incomplete data with millions of instances (big-n) or 10, 000 variables (big-p).

Categories:
Machine Learning
Other
Standards Research Data
367 Views