A Study of Clustering Based Algorithm for Outlier Detection in Data streams
نویسنده
چکیده
Recently many researchers have focused on mining data streams and they proposed many techniquesand algorithms for data streams. It refers to the process of extracting knowledge from nonstop fast growing data records. They are data stream classification, data stream clustering, and data stream frequentpattern items and so on. Data stream clustering techniques are highly helpful to cluster the similar data items in datastreams and also to detect the outliers, so they are called cluster based outlier detection. Outlier Detection is a fundamental issue in Data Mining. It has been used to detect and remove unwanted data objects from large dataset. The clustering techniques are highly helpful to detect the outliers called cluster based outlier detection.The data stream is a new emerging research area in Data Mining. It refers to the process of extracting knowledge from nonstop fast growing data records.
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