A Comparative Study for Outlier Detection Techniques in Data Mining

Thus, outlier detection and analysis is an interesting and important data mining task. This paper discussed about control chart, linear regression and Manhattan ...

A Comparative Study for Outlier Detection Techniques in Data Mining ; Article #: ; Date of Conference: 07-09 June 2006 ; Date Added to IEEE Xplore: 04 December ...

A Comparative Study for Outlier Detection Techniques in Data Mining

It shows that meaningful outliers are likely to be identified by examining the behavior of data in low dimensional projections. On the other hand, most existing ...

A Comparative Study for Outlier Detection Techniques in Data Mining

Experimental studies show that outlier detection technique using control chart is better than the technique modeled from linear regression because the ...

A Comparative Study for Outlier Detection Techniques in Data Mining

Thus, outlier detection and analysis is an interesting and important data mining task. This paper discussed about control chart, linear regression and Manhattan ...

A Comparative Study on Outlier Detection Techniques

The classification of outlier detection techniques based on the applied knowledge discipline provides an idea of the research done by different communities and ...

A Comparative Study of RNN for Outlier Detection in Data Mining

We have proposed replicator neural networks (RNNs) for outlier detection [8]. Here we compare RNN for out- lier detection with three other methods using ...

A Comparative Study of Outlier Detection Algorithms - SpringerLink

This paper presents a comprehensive analysis of three outlier detection methods Extensible Markov Model (EMM), Local Outlier Factor (LOF) and LCS-Mine, where ...

A comparative study for outlier detection techniques in data mining ...

... The technique of outlier detection is very useful in several application areas such as machine learning, and data mining [2] . Pattern recognition, and ...

Outlier Detection in Data Streams — A Comparative Study of ...

Comparative evaluation of anomaly detection techniques for sequence data, in: Data Mining, 2008. ICDM'08. Eighth IEEE International Conference on, IEEE. pp ...

A Comparative Analysis of Different Outlier Detection Techniques in ...

In the case of univariate data, the median absolute deviation (MAD) is the robust dispersion measure against outliers [28]. Therefore, outlier ...

A Comparative Study for Outlier Detection Methods in High... - Sciendo

Outlier detection aims to find a data sample that is significantly different from other data samples....

A Comparative Study of RNN for Outlier Detection in Data Mining

We have proposed replicator neural networks (RNNs) as an outlier detect- ing algorithm [15]. Here we compare RNN for outlier detection with three other methods ...

Comparative Analysis of Outlier Detection Techniques

Moreover, we have also given a broad comparison of the various methods of the different outlier techniques. Keywords. Outliers, data mining, Clustering, Neural ...

A comparative study on outlier detection techniques for noisy ...

However, outliers add significant uncertainty and non-uniqueness to results from production data analysis. This study provides a structured and comprehensive ...

A comparative study of RNN for outlier detection in data mining

This work compares RNN for outlier detection with three other methods using both publicly available statistical datasets and data mining datasets to provide ...

Comparative Study of Outlier Detection Algorithms for Machine ...

In this work a comparison between effects of multivariate outlier detection algorithms on machine learning problems is performed. For this ...

A Comparison of Outlier Detection Techniques for High-Dimensional ...

Outlier analysis is of great interest to the data mining field. It refers to the task of identifying those patterns from the data whose ...

A Comparative Study for Anomaly Detection in Data Mining

However, most existing research focused on the algorithm based on specific knowledge, compared with outlier detection approach is still rare. In this paper ...

Comparative Study of Outlier Detection Algorithms via Fundamental ...

In this study, outlier detection step in the data mining process is applied for identifying the top 20 outlier firms. Three outlier detection ...