Towards the evaluation of time series protection methods

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Cite
Nin, Jordi, and Vicenç Torra. “Towards the Evaluation of Time Series Protection Methods”. Information Sciences, vol. 179, no. 11, 2009, pp. 1663-77, https://doi.org/10.1016/j.ins.2009.01.024.
Nin, J., & Torra, V. (2009). Towards the evaluation of time series protection methods. Information Sciences, 179(11), 1663-1677. https://doi.org/10.1016/j.ins.2009.01.024
Nin J, Torra V. Towards the evaluation of time series protection methods. Information Sciences. 2009;179(11):1663-77.
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 International Journal of Information Security and Privacy
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  • Technology: Engineering (General). Civil engineering (General)
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science9
Science: Science (General): Cybernetics: Information theory5
Technology: Technology (General): Industrial engineering. Management engineering: Information technology4
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication4
Technology: Mechanical engineering and machinery3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software3
Technology: Engineering (General). Civil engineering (General)2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 9 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Swarm-based translation-invariant morphological prediction method for financial time series forecasting and was published in 2010. The most recent citation comes from a 2022 study titled Shape-Sphere: A metric space for analysing time series by their shape. This article reached its peak citation in 2012, with 3 citations. It has been cited in 10 different journals, 10% of which are open access. Among related journals, the Information Sciences cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year