Based on archival and press sources, and drawing in particular on the faculty council minutes of the Faculties of Medicine and Humanities at Budapest University, this article

The first paper, titled ‘‘An efficient iterative graph data processing framework based on bulk synchronous parallel model’’ by Liu et al, 1 presents an efficient

The mathematical model for 1Ioran's storage theory has been presented and applied to a design based on the concrete hydrological data set in Table 1.. The graph

EGB ESÉ Elektronikus Adatteidolgozási munka- csoportjának soros ülésére, melyen Straub Elek, a Központi Statisztikai Hivatal elnökhelyettese és Alföldi István, a

Therefore, we follow the graph-based data representation paradigm [9], where each record (object) of the original data corresponds a vertex of a graph and similar objects are

Lengyel, Processing Simulink Models with Graph Rewriting-Based Model Transformation, ACM/IEEE 15th International Conference on Model Driven Engineering Languages and

We define several suitable network representations of students, teachers and subjects in public education and present some possible ways of how graph mining

The thesis addresses Challenge 1 by developing a hybrid model transformation language framework based on graph pattern matching, ASM-based control flow specification and

Graph rewriting-based model transformation is a promising candidate for the specification of model processing programs, because this method has many advantages: (i) Graphs are the

Data Avenue offers a uniform view, browsing capabilities, and handling of data residing on a wide range of storage resources through a portable, intuitive, web-based

We defined the network of these students, such that each vertex of the network represents a student, and we defined the connection between two students in the following way: first

The maximal structure of the synthesis problem (P, R, O) contains all the combinatorially possible structures, which make the production of defined products possible from

et al.: Small area model- based estimators using big data sources.. – Snijkers,

Research areas: model-driven software development, model transformation, graph transformation (GT in re- lational databases, adaptive and incremental GT engines, GT benchmarks,

Section 2 discusses the concepts of model based development and deployment, also briefly summarizing the principles of graph transformations, Section 3 presents the target domain

[21] Levendovszky T, Lengyel L, Mezei G, Charaf H, A Systematic Approach to Metamodeling Environments and Model Transformation Systems in VMTS, International Workshop on Graph-

Based on the application of the mathematical model and graph-analytical mathematical procedure it can be concluded that in Serbia, in 2013, the optimum thickness of

Our main theorem shows that the classical dense preferential attachment graph model yields random graphs that are close to the random graph model obtained through the PAG-graphon,