Progress in technology has led to a stunning increase in the quality of multimedia content over the past few decades: Ultra-HD or 3D displays have become affordable nowadays, and high-definition streaming is quickly replacing conventional media libraries at home as well as on mobile devices. At the same time, quality considerations have become a lot more intricate because of the additional comp...

. . . A lot of sensors nowadays are embedded in smart factories which generate massive real-time data about the functional conditions of the manufacturing equipments. Complex Event Processing(CEP) systems are involved to analyze continuous behavior of these machines, detect undesired patterns and give alerts in case of anomalies. In this thesis, we introduce an architectural design and concrete...

Developing Big Data applications implies a lot of schematic or complex structural tasks, which can easily lead to implementation errors and incorrect analysis results. In this paper, we present a model-based approach that supports the automatic generation of code to handle these repetitive tasks, enabling data engineers to focus on the functional aspects without being distracted by technical is...

Frequent pattern mining is a core data mining operation and has been extensively studied over the last decade. Recently, mining frequent patterns over data streams have attracted a lot of research interests. Compared with other streaming queries, frequent pattern mining poses great challenges due to high memory and computational costs, and accuracy requirement of the mining results. In this cha...

Video coding is used under the hood of a lot of multimedia applications, such as video conferencing, digital storage media, television broadcasting, and internet streaming. Recently, new standards-based and proprietary technologies have emerged. An interesting problem is how to evaluate these different video coding solutions in terms of delivered quality. In this paper, a PSNR-based approach is...

Construction of a decision tree is a well researched problem in data mining. Mining of streaming data is a very useful and necessary application. Algorithms such as VFDT and CVFDT are used for decision tree construction, but as a lot of new examples are added, a new optimal model needs to be constructed. Here in this paper, we have provided an algorithm for decision tree construction which uses...

Massive graphs arise naturally in a lot of applications, especially in communication networks like the internet. The size of these graphs makes it very hard or even impossible to store set of edges in the main memory. Thus, random access to the edges can't be realized, which makes most o ine algorithms unusable. This essay investigates e cient algorithms that read the edges only in a xed sequen...