An efficient method is proposed to diagnose a type of abnormal data. We first start with analyzing an example, carry through with development of the theory once more, and finally list the method steps and its application fields. Experiments show that we need more important and better ways to diagnose abnormal data and eliminate them along with the development of information technology and control technology. The quality of measured data is improved by the use of this technique
This study investigated the application of data analysis algorithm in quality control, case study re...
Application of regression statistic to analyse geography data is getting familiar, as the reason tha...
The incorrect problems of regression analysis to be used in medical and biological investigations we...
Computational science and computers are great significance for a lot of studies conducted today. Sto...
Regression lies heart in statistics, it is the one of the most important branch of multivariate tech...
The article explores data mining algorithms, which based on rules and calculations, that allow us to...
A regression algorithm estimates the value of the target (response) as a function of the predictors ...
We present a survey of possible algorithms and their rounding off trancation, arithmetic error bound...
Learning of abnormalities is a considerable challenge in data mining and knowledge discovery. Except...
Includes bibliographical references (leaves 118-120)The problems of detecting influential observatio...
This paper introduced a sort of abnormity data method. We start with analysing an example first and ...
In many real world scenarios, regression is a commonly used technique to predict continuous variable...
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis,...
The statistical method application of data processing is the study object of this thesis. The thesis...
The advent of inexpensive, powerful computing systems, together with the increasing amount of availa...
This study investigated the application of data analysis algorithm in quality control, case study re...
Application of regression statistic to analyse geography data is getting familiar, as the reason tha...
The incorrect problems of regression analysis to be used in medical and biological investigations we...
Computational science and computers are great significance for a lot of studies conducted today. Sto...
Regression lies heart in statistics, it is the one of the most important branch of multivariate tech...
The article explores data mining algorithms, which based on rules and calculations, that allow us to...
A regression algorithm estimates the value of the target (response) as a function of the predictors ...
We present a survey of possible algorithms and their rounding off trancation, arithmetic error bound...
Learning of abnormalities is a considerable challenge in data mining and knowledge discovery. Except...
Includes bibliographical references (leaves 118-120)The problems of detecting influential observatio...
This paper introduced a sort of abnormity data method. We start with analysing an example first and ...
In many real world scenarios, regression is a commonly used technique to predict continuous variable...
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis,...
The statistical method application of data processing is the study object of this thesis. The thesis...
The advent of inexpensive, powerful computing systems, together with the increasing amount of availa...
This study investigated the application of data analysis algorithm in quality control, case study re...
Application of regression statistic to analyse geography data is getting familiar, as the reason tha...
The incorrect problems of regression analysis to be used in medical and biological investigations we...