Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. V...
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
: TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing a wide spectrum of data streams. As ap...