Analysis and treatment of abnormal data in long-path air automatic monitoring;

Discrimination analysis of the abnormal data to the settlement monitoring of the high graded road;

Determination of confidence interval of 3-D data and repair of abnormal data;

The robustness data processing method about eliminating outlier;

Research on Intrgrated Management of Outlier in Intelligent Data Analysis;

In this paper, a method based on the Bouncing Function is proposed for discerning and calculating the outliers, which resulted in the irregular change.

Dynamic outliers data identifying and detection based on chaotic;

Test of outliers by Bayesian;

Research of outliers mining and its application on engineering;

To improve the sensitivity of identification, the algorithm based on t test is presented to solve the problems of misidentifying and failing to identify the anomalous data.

The influence of anomalous data consisted in the historic load data to load forecasting has been analyzed in this paper.

This article promoted outlier data mining algorithms based on weighted fast clustering to inspect and deal with outlier data effectively.

Outlier data detection is an important part of data mining.

A method of diagnosing the data\'s anomaly quickly & timely has been proposed based on summarizing various diagnosis methods and the module of diagnosing data anomaly on time in the dam safety monitoring system has been developed by taking Delphi2007 as the development language.