FAP: A Time Series Analysis and Mining Framework for Scientific and Practical Applications

Zoltán Gellér1, Vladimir Kurbalija2 and Mirjana Ivanović2

  1. University of Novi Sad, Faculty of Philosophy, Department of Media Studies
    Dr Zorana Ðind̄ića 2, 21000 Novi Sad, Serbia
    zoltang@ff.uns.ac.rs
  2. University of Novi Sad, Faculty of Sciences, Department of Mathematics and Informatics
    Trg D. Obradovića 4, 21000 Novi Sad, Serbia
    {kurba, mira}@dmi.uns.ac.rs

Abstract

Given the exponential growth of data in modern society, data analysis tools have become increasingly pivotal in a wide range of fields, such as business, advertising, economy, medicine, biology, meteorology, astronomy, agriculture, and others. As the time component often plays an essential role in data analysis, the application and research of different methods for examining temporal data is among the current interests of both practitioners and researchers. This paper presents the main capabilities of the Framework for Analysis and Prediction (FAP), a free and open source Java library designed for processing and mining time series data that has been successfully applied both in research and education since its initial presentation.

Key words

time series, data mining, open source, software library, Java

How to cite

Gellér, Z., Kurbalija, V., Ivanović, M.: FAP: A Time Series Analysis and Mining Framework for Scientific and Practical Applications. Computer Science and Information Systems