Optimal Missing Value Estimation Algorithm for Groundwater Levels
نویسندگان
چکیده
منابع مشابه
BIOINFORMATICS Collateral Missing Value Imputation: A New Robust Missing Value Estimation Algorithm For Microarray Data
Motivation: Microarray data is used in a range of application areas in biology, though often it contains considerable numbers of missing values. These missing values can significantly affect subsequent statistical analysis and machine learning algorithms so there is a strong motivation to estimate these values as accurately as possible prior to using these algorithms. While many imputation algo...
متن کاملCollateral missing value imputation: a new robust missing value estimation algorithm for microarray data
MOTIVATION Microarray data are used in a range of application areas in biology, although often it contains considerable numbers of missing values. These missing values can significantly affect subsequent statistical analysis and machine learning algorithms so there is a strong motivation to estimate these values as accurately as possible before using these algorithms. While many imputation algo...
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Microarrays have unique ability to probe thousands of genes at a time that makes it a useful tool for variety of applications, ranging from diagnosis to drug discovery. However, data generated by microarrays often contains multiple missing gene expressions that affect the subsequent analysis, as most of the times these missing values are ignored. In this paper we have analyzed how accurate esti...
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ژورنال
عنوان ژورنال: Proceedings
سال: 2018
ISSN: 2504-3900
DOI: 10.3390/proceedings2110698