Clustering Data Streams: A Second Look
نویسندگان
چکیده
Revolution in digitized technologies has made it possible to acquire data on-line in the form of data streams, which are continuous and infinite in nature. Multiple applications varying from critical scientific applications to business and financial applications generate transient data. Since streaming data is ordered sequence of continuously growing unlabeled data instances, it is not feasible to apply traditional data mining techniques to reveal hidden, useful and novel patterns.
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