Two Faces of the Framework for Analysis and Prediction, Part 1 - Education

Authors

  • Vladimir Kurbalija Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad
  • Mirjana Ivanović Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad
  • Zoltan Geler Department of Media Studies, Faculty of Philosophy, University of Novi Sad
  • Miloš Radovanović Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad

DOI:

https://doi.org/10.5755/j01.itc.47.2.18746

Keywords:

data mining, time-series analysis, tools for time-series processing, application of time-series in education

Abstract

With the ever-increasing amounts of data being generated in all walks of life and work, data analysis tools are gaining in importance and becoming essential in many application scenarios, including commerce, healthcare, research, and education. One important type of data are time series, which can be viewed as chronologically arranged arrays of numerical values that describe a sequences of quantitative observations (e.g. in medical examinations, scientific and engineering experiments, etc.). In this article we survey the successful applications of the Framework for Analysis and Prediction (FAP) – a Java-based tool dedicated to time-series analysis – in the area of education. Its utilization in this domain spans the development of several graphical user interfaces, as well as student projects illustrating and enhancing the capabilities of the system in the domains of time-series reconstruction, medicine (diagnosis), finance (stock value prediction) and psychology.

DOI: http://dx.doi.org/10.5755/j01.itc.47.2.18746

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Published

2018-05-18

Issue

Vol. 47 No. 2 (2018)

Section

Articles

License

Copyright terms are indicated in the Republic of Lithuania Law on Copyright and Related Rights, Articles 4-37.