Paper Info
Title
Clustering of data streams: a second look
Abstract
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.
Year
Venue
Keywords
2011
Proceedings of the 17th International Conference on Management of Data
data stream,traditional data mining technique,transient data,unlabeled data instance,critical scientific application,digitized technology,financial application,multiple application,novel pattern
Field
DocType
Citations 
Data mining,Data stream mining,Computer science,Streaming data,Cluster analysis,Database
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Vasudha Bhatnagar118117.69
Sharanjit Kaur2274.48