Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
Abstract. Most of the recent work on adaptive processing and continuous querying of data streams assume that data objects come in the form of tuples, thus relying on the relational...
Michael Gertz, Quinn Hart, Carlos Rueda, Shefali S...
Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in convent...
Applications ranging from location-based services to multi-player online gaming require continuous query support to monitor, track, and detect events of interest among sets of mov...
Adaptive query processing is of utmost importance for the scalability of data stream processing systems due to the long-running queries and fluctuating stream characteristics. An...