Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Abstract-- In this paper, we present TransDec, an end-toend data-driven system which enables spatiotemporal queries in transportation systems with dynamic, real-time and historical...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
Abstract. Being able to activate triggers at timepoints reached or after time intervals elapsed has been acknowledged by many authors as a valuable functionality of a DBMS. Recentl...