Stream processing applications have recently gained significant attention in the networking
and database community. At the core of these applications is a stream processing engine …

Distributed stream processing systems offer a highly scalable and dynamically configurable
platform for time-critical applications ranging from real-time, exploratory data mining to high …

In this paper, we describe the MaxStream federated stream processing architecture to
support real-time business intelligence applications. MaxStream builds on and extends the …

Real-time classification and identification of specific features in high-volume data streams
are critical for a plethora of applications, including large-scale multimedia analysis …

Networks of classifiers are capturing the attention of system and algorithmic researchers
because they offer improved accuracy over single model classifiers, can be distributed over …

In this paper, we discuss distributed optimization techniques for configuring classifiers in a
real-time, informationally-distributed stream mining system. Due to the large volume of …

With the increasing need for accurate mining and classification from multimedia data
content, and the growth of such multimedia applications in mobile and distributed …

Real-time multimedia semantic concept detection requires instant identification of a set of
concepts in streaming video or images. However, the potentially high data volumes of …

Multimedia stream mining applications require the identification of several different attributes
in data content, and hence rely on a set of cascaded statistical classifiers to filter and …

In this chapter, we discuss the state of the art and future challenges in adaptive stream
mining systems for computer vision. Adaptive stream mining in this context involves the …