文章基本信息

标题：Two Faces of the Framework for Analysis and Prediction, Part 1 - Education
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作者：Vladimir Kurbalija ; Mirjana Ivanović ; Zoltan Geler 等
期刊名称：Public Policy And Administration
印刷版ISSN：2029-2872
出版年度：2018
卷号：47
期号：2
页码：249-261
DOI：10.5755/j01.itc.47.2.18746
语种：English
出版社：Kaunas University of Technology
摘要：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.
关键词：data mining;time-series analysis;tools for time-series processing;application of time-series in education