Publikationen

Parallel data mining is utilized to improve the performance of analyzing large databases within a reasonable time frame. Exploring associative rules is an important task in data mining with various practical applications that can be used to explore knowledge in the form of a set of repetitive items or associative rules. Parallel algorithms divide the data superficially and then using different distribution approach, like data distribution, candidate and numerical candidate distribution, extract the set of repetitive items, and ultimately explore strong association laws. In this paper, a parallel algorithm is proposed to explore the collection of repetitive items from big and dense transaction databases.

Code clones can happen in any software project. One of the challenges is that, code clones come in various forms which makes them hard to detect using standard templates. Due to this variety in structure and form of semantically similar clones, machine learning techniques are required to detect them. Recently in many domains, e.g., natural language processing, deep neural networks drew a lot of attention due to their accuracy. In this paper, we exploit the results of some convolutional neural networks for code summarization to find the code clones. We use the generated descriptions for two code snippets as a metric to measure the similarities between them. We propose a vector similarity measure to calculate a similarity indicator between th

Die Forschung in den Sozial- und Wirtschaftswissenschaften ist immer öfter auf einen abgesicherten Zugang zu Forschungsdaten angewiesen, da ansonsten die Anforderungen des Datenschutzes nicht erfüllt werden können. Remote-Access-Lösungen bieten hier einen komfortablen Datenzugang und ermöglichen gleichzeitig einen hohen Sicherheitsstandard. Der Text klärt kurz Begrifflichkeiten und Rahmenbedingungen des Datenzugangs in den Sozial- und Wirtschaftswissenschaften und beschreibt daraufhin Funktionsweisen und Ausformungen des Remote Access. Als exemplarische Lösungen werden Remote-Access-Verfahren von fünf deutschen Forschungsdatenzentren (FDZ), die im "Rat für Sozial- und Wirtschaftsdaten" (RatSWD) organisiert sind, dargestellt.