The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...