RODHA: Robust Outlier Detection using Hybrid Approach
نویسندگان
چکیده
منابع مشابه
RODHA: Robust Outlier Detection using Hybrid Approach
The task of outlier detection is to find the small groups of data objects that are exceptional to the inherent behavior of the rest of the data. Detection of such outliers is fundamental to a variety of database and analytic tasks such as fraud detection and customer migration. There are several approaches[10] of outlier detection employed in many study areas amongst which distance based and de...
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It has been observed recently that the prominence of multidimensional data is increasing. Existing outlier detection techniques generally fail to work on multi-dimensional data. The need for analyzing high dimensional data has thus increased in today’s data trends. It has enormous application in medical domain, network intrusion and satellite imagery. Even though there are existing methodologie...
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ژورنال
عنوان ژورنال: American Journal of Intelligent Systems
سال: 2012
ISSN: 2165-8978
DOI: 10.5923/j.ajis.20120205.07