This paper presents a highly efficient rule-based outlier mining algorithm.

Outlier mining is an important part of data mining.

Existing outlier mining approaches lack valid processing for categorical data.

This paper firstly analyzes outlier and outlier mining algorithms.

In this paper, a research on the outlier mining method for time series data is undertaken.

First,the principle,characteristic and time complexity of three typical outlier mining approaches,that is statistical-based approach, distance-based approach,density-based approach,are analyzed.

Research and Application on Data-stream Outlier Data Mining;

Research on Outlier Data Mining in High Dimensional Space;

In the article described the stray data mining elementary theory as well as the classical algorithm,and according to the characteristics of data in the past dozens years,they made a theory that the use of outlier data mining models to predict diseases and insect pests.

According to the characteristic of stock time series,outlier pattern mining is considered as an optimization segmentation problem by using fractal theory,based on the defining fractal outlier,from the viewpoint of outlier affecting orderliness of data set of time series.