Constantly regard the universe as one living being, having one substance and one soul; and observe how all things have reference to one perception, the perception of this one living being; and how all things act with one movement; and how all things are the cooperating causes of all things which exist; observe too the continuous spinning of the thread and the contexture of the web.  (Marcus Aurelius, The Meditations)

Recent announcements

  • Graph configuration model based evaluation of the education-occupation match
    To study education—occupation matchings we developed a bipartite network model of education to work transition and a graph configuration model based metric. We studied the career paths of 15 thousand Hungarian students based on the integrated database of the National Tax Administration, the National Health Insurance Fund, and the higher education information system of the Hungarian Government. A brief analysis of gender pay gap and the spatial distribution of over-education is presented to demonstrate the background of the research and the resulted open dataset. We highlighted the hierarchical and clustered structure of the career paths based on the multi-resolution analysis of the graph modularity. The results of the cluster analysis can support policymakers to fine-tune the fragmented program structure of higher education.

    The details of this research are published in PLOS ONE:

    All the files and the R code are available at:



    Posted Mar 6, 2018, 11:47 AM by János Abonyi
  • Sequence Mining based Alarm Suppression

    To provide more insight into the process dynamics and represent the temporal relationships among faults, control actions and process variables we propose of a multi-temporal sequence mining based algorithm. The methodology starts with the generation of frequent temporal patterns of the alarm signals. We transformed the multi-temporal sequences into Bayes classifiers. The obtained association rules can be used to define alarm suppression rules. We analyzed the dataset of a laboratory-scale water treatment testbed to illustrate that multi-temporal sequences are applicable for the description of operation patterns. We extended the benchmark simulator of a vinyl acetate production technology to generate easily reproducible results and stimulate the development of alarm management algorithms. The results of detailed sensitivity analyses confirm the benefits of the application of temporal alarm suppression rules which are reflecting the dynamical behaviour of the process.

    The files are the supplementary materials of our paper will be published in IEEE Access, 2018 For the extended simulator of the vinyl acetate production technology and the source codes of the Bayes’ theorem-based evaluation of sequences see: https://github.com/abonyilab/VACsimulator

    The MATLAB implementation of the sequence mining algorithm is available at: https://github.com/abonyilab/Multi-temporal-sequence-mining

    Posted Feb 10, 2018, 12:52 PM by János Abonyi
Showing posts 1 - 2 of 12. View more »