Abstract. We address the problem of matching imperfectly documented schemas of data streams and large databases. Instancelevel schema matching algorithms identify likely correspond...
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or real-time query responses in ...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...