Using Genetic Algorithm in Outlier Detection for Regression Model
نویسندگان
چکیده
منابع مشابه
An Effective Genetic Algorithm for Outlier Detection
The main objective the outlier detection is to find the data that are exceptional from other data in the data set. Detection of such exceptional data’s is an important issue in many fields like fraud detection, Intrusion detection and Medicine . In this paper we are proposing an algorithm to detect outliers using genetic algorithm. The proposed method was exceptionally accurate in identifying t...
متن کاملAn Effective Genetic Algorithm for Outlier Detection
The main objective the outlier detection is to find the data that are exceptional from other data in the data set. Detection of such exceptional data’s is an important issue in many fields like fraud detection, Intrusion detection and Medicine . In this paper we are proposing an algorithm to detect outliers using genetic algorithm. The proposed method was exceptionally accurate in identifying t...
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In ordinary statistical methods, multiple outliers in multiple linear regression model are detected sequentially one after another, where smearing and masking effects give misleading results. If the potential multiple outliers can be detected simultaneously, smearing and masking effects can be avoided. Such multiple-case outlier detection is of combinatorial nature and sets of possible outliers...
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A procedure for detecting outliers in regression problems is proposed. It is based on information provided by boosting regression trees. The key idea is to select the most frequently resampled observation along the boosting iterations and reiterate after removing it. The selection criterion is based on Tchebychev’s inequality applied to the maximum over the boosting iterations of ...
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ژورنال
عنوان ژورنال: JOURNAL OF EDUCATION AND SCIENCE
سال: 2018
ISSN: 2664-2530
DOI: 10.33899/edusj.2018.159314