Improving process algebra model structure and parameters in infectious disease epidemiology through data mining.

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Title: Improving process algebra model structure and parameters in infectious disease epidemiology through data mining.
Authors: Hamami, Dalila1, dhamami8@gmail.com, Atmani, Baghdad1, atmani.baghdad@gmail.com, Cameron, Ross2, ross.cameron@nhs.net, Pollock, Kevin G2, kevin.pollock@nhs.net, Shankland, Carron3, ces@cs.stir.ac.uk
Source: Journal of Intelligent Information Systems; Jun2019, Vol. 52 Issue 3, p477-499, 23p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 136541061
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  Data: Improving process algebra model structure and parameters in infectious disease epidemiology through data mining.
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  Data: <searchLink fieldCode="AU" term="%22Hamami%2C+Dalila%22">Hamami, Dalila</searchLink><relatesTo>1</relatesTo>, <i>dhamami8@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Atmani%2C+Baghdad%22">Atmani, Baghdad</searchLink><relatesTo>1</relatesTo>, <i>atmani.baghdad@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Cameron%2C+Ross%22">Cameron, Ross</searchLink><relatesTo>2</relatesTo>, <i>ross.cameron@nhs.net</i><br /><searchLink fieldCode="AU" term="%22Pollock%2C+Kevin+G%22">Pollock, Kevin G</searchLink><relatesTo>2</relatesTo>, <i>kevin.pollock@nhs.net</i><br /><searchLink fieldCode="AU" term="%22Shankland%2C+Carron%22">Shankland, Carron</searchLink><relatesTo>3</relatesTo>, <i>ces@cs.stir.ac.uk</i>
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      – Type: doi
        Value: 10.1007/s10844-017-0476-1
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 477
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      – TitleFull: Improving process algebra model structure and parameters in infectious disease epidemiology through data mining.
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            NameFull: Hamami, Dalila
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            NameFull: Atmani, Baghdad
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            NameFull: Cameron, Ross
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            NameFull: Pollock, Kevin G
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            – D: 01
              M: 06
              Text: Jun2019
              Type: published
              Y: 2019
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              Value: 52
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