2020
DOI: 10.1504/ijbis.2020.10036955
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SIMCOP: a framework for similarity analysis of context histories

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Cited by 3 publications
(2 citation statements)
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“…Future work will explore the use of Context Histories to organize the data produced during the workshops, allowing the use of these data to include intelligence in patient care environments. In this sense, the project will explore advanced data analysis strategies, such as pattern analysis [62], context prediction [63], learning analytics [64,65], and similarity analysis [66,67]. These strategies for handling context histories will be applied in the analysis of project data, mainly enabling prediction, personalization and content recommendation to improve the user experience.…”
Section: Final Remarksmentioning
confidence: 99%
“…Future work will explore the use of Context Histories to organize the data produced during the workshops, allowing the use of these data to include intelligence in patient care environments. In this sense, the project will explore advanced data analysis strategies, such as pattern analysis [62], context prediction [63], learning analytics [64,65], and similarity analysis [66,67]. These strategies for handling context histories will be applied in the analysis of project data, mainly enabling prediction, personalization and content recommendation to improve the user experience.…”
Section: Final Remarksmentioning
confidence: 99%
“…Future work will explore the use of Context Histories to organize the data produced during the workshops, allowing the use of these data to include intelligence in patient care environments. In this sense, the project will explore advanced data analysis strategies such as pattern analysis [61], context prediction [62], learning analytics [63,64], and similarity and similarity analysis [65,66]. These strategies for handling context histories will be applied in the analysis of project data, mainly enabling prediction, personalization and content recommendation to improve the user experience.…”
Section: Final Remarksmentioning
confidence: 99%