Geodesic
FAP: A Time Series Analysis and Mining Framework for Scientific and Practical Applications
Computer Science and Information Systems, Tome 22 (2025) no. 4

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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.
Keywords: time series, data mining, open source, software library, Java 
Zoltán Gellér; Vladimir Kurbalija; Mirjana Ivanović. FAP: A Time Series Analysis and Mining Framework for Scientific and Practical Applications. Computer Science and Information Systems, Tome 22 (2025) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2025_22_4_a2/
@article{CSIS_2025_22_4_a2,
     author = {Zolt\'an Gell\'er and Vladimir Kurbalija and Mirjana Ivanovi\'c},
     title = {FAP: {A} {Time} {Series} {Analysis} and {Mining} {Framework} for {Scientific} and {Practical} {Applications}},
     journal = {Computer Science and Information Systems},
     year = {2025},
     volume = {22},
     number = {4},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2025_22_4_a2/}
}
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