Statistical analysis with missing data
Statistical analysis with missing data
Probabilistic induction by dynamic part generation in virtual trees
Proceedings of Expert Systems '86, The 6Th Annual Technical Conference on Research and development in expert systems III
Unknown attribute values in induction
Proceedings of the sixth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Mixture models for learning from incomplete data
Computational learning theory and natural learning systems: Volume IV
Data preparation for data mining
Data preparation for data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Change Detection in Overhead Imagery Using Neural Networks
Applied Intelligence
Techniques for Dealing with Missing Values in Classification
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
Guest Editors' Introduction: Information Enhancement for Data Mining
IEEE Intelligent Systems
A Data Mining Approach for Retailing Bank Customer Attrition Analysis
Applied Intelligence
Guest Editors' Introduction: Special Section on Intelligent Data Preparation
IEEE Transactions on Knowledge and Data Engineering
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Optimized parameters for missing data imputation
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach
Transactions on Computational Science III
Cost-time sensitive decision tree with missing values
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Cost-sensitive classification with respect to waiting cost
Knowledge-Based Systems
Missing value imputation based on data clustering
Transactions on computational science I
Shell-neighbor method and its application in missing data imputation
Applied Intelligence
A robust missing value imputation method for noisy data
Applied Intelligence
Decision tree classifiers sensitive to heterogeneous costs
Journal of Systems and Software
Nearest neighbor selection for iteratively kNN imputation
Journal of Systems and Software
Information enhancement for data mining
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Estimating Semi-Parametric Missing Values with Iterative Imputation
International Journal of Data Warehousing and Mining
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Missing data imputation is an important issue in machine learning and data mining. In this paper, we propose a new and efficient imputation method for a kind of missing data: semi-parametric data. Our imputation method aims at making an optimal evaluation about Root Mean Square Error (RMSE), distribution function and quantile after missing-data are imputed. We evaluate our approaches using both simulated data and real data experimentally, and demonstrate that our stochastic semi-parametric regression imputation is much better than existing deterministic semi-parametric regression imputation in efficiency and effectiveness.