58 citations · 244 across the 23 of their papers we have counts for
6 papers · 1 filter
A Fast Greedy Algorithm for Outlier Mining
Zengyou He, Xiaofei Xu, Shengchun Deng
The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. In [38], the problem of outlier detection i…
A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces
Zengyou He, Xiaofei Xu, Shengchun Deng
The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. Detection of such outliers is important for…
An Optimization Model for Outlier Detection in Categorical Data
Zengyou He, Xiaofei Xu, Shengchun Deng
The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data. Detection of such outliers is important for…
Data Mining for Actionable Knowledge: A Survey
Zengyou He, Xiaofei Xu, Shengchun Deng
The data mining process consists of a series of steps ranging from data cleaning, data selection and transformation, to pattern evaluation and visualization. One of the central pro…
Modeling Complex Higher Order Patterns
Zengyou He, Xiaofei Xu, Shengchun Deng
The goal of this paper is to show that generalizing the notion of frequent patterns can be useful in extending association analysis to more complex higher order patterns. To that e…
A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation
Zengyou He, Xiaofei Xu, Shengchun Deng
Given a user-specified minimum correlation threshold and a transaction database, the problem of mining all-strong correlated pairs is to find all item pairs with Pearson's correlat…