Two Faces of the Framework for Analysis and Prediction, Part 2 - Research

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.47.3.18747

Keywords:

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

Abstract

Continuing Two Faces of the Framework for Analysis and Prediction, Part 1 - Education, this article overviews the successful applications of the Framework for Analysis and Prediction (FAP) – a Java-based tool dedicated to time-series analysis – in research, highlighting the influence applications had on subsequent development and enhancements of the FAP software. Research applications include applications in data mining (development of a new time-series representation and various interactions between time-series distance measures and classification) and multidisciplinary research (in psychology, medicine, emotion recognition and agent-based distributed computing).

DOI: http://dx.doi.org/10.5755/j01.itc.47.3.18747

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Published

2018-09-10

Issue

Vol. 47 No. 3 (2018)

Section

Articles

License

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