This paper describes how to fit fractal models, online, on IP traffic data streams. Our approach relies on maintaining a sketch of the data stream and fitting straight lines: it y...
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed across sources. Each si...
Crop forecast is an activity practiced by experts in agriculture, based on large data volumes. These data cover climatological information of the most diverse types, concerning a g...
This paper reviews literature on scalable data structures for searching in a distributed computing environment. Starting with a system where one server manages a file of a given s...
Web-based learning environments are extensively used nowadays. These environments maintain and produce vast amounts of data. Such vastness lead to the application of data mining t...
Ioannis Kazanidis, Stavros Valsamidis, Theodosios ...