In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Academics, having written their peer reviewed articles, may at some stage in the make their work Open Access (OA). They can do this by self-archiving an electronic version of thei...
Despite the importance of real-world experiments, nearly all ongoing research activities addressing video streaming over MANETs are based on simulation studies. Earlier research s...
Stein Kristiansen, Morten Lindeberg, Daniel Rodr&i...
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...