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Forecasting the Direction of Indonesia’s Consumer Goods Sector Stock Price Movement Using Fuzzy Kernel Robust C-Means.

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Bibliographic Details
Title: Forecasting the Direction of Indonesia’s Consumer Goods Sector Stock Price Movement Using Fuzzy Kernel Robust C-Means.
Authors: Takbiradzani, K.1, Rustam, Z.1 rustam@ui.ac.id
Source: AIP Conference Proceedings. 2019, Vol. 2168 Issue 1, p020055-1-020055-7. 7p. 3 Charts.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 139510351
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 0
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  Data: Forecasting the Direction of Indonesia’s Consumer Goods Sector Stock Price Movement Using Fuzzy Kernel Robust C-Means.
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  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 2019, Vol. 2168 Issue 1, p020055-1-020055-7. 7p. 3 Charts.
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        Value: 10.1063/1.5132482
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 020055-1
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      – TitleFull: Forecasting the Direction of Indonesia’s Consumer Goods Sector Stock Price Movement Using Fuzzy Kernel Robust C-Means.
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              Text: 2019
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