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A Hybrid Machine Learning Model for Streaming Frequency-Based Anomaly Detection in Banking Transactions.

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Title: A Hybrid Machine Learning Model for Streaming Frequency-Based Anomaly Detection in Banking Transactions.
Authors: Hersyaputra, Mohamad Syazimmi1, 6025241017@student.its.ac.id, Jaya, Muhammad Triyanda Taruna1, 6025241014@student.its.ac.id, Anggraini, Ratih Nur Esti1, ratih@its.ac.id
Source: Journal of Information & Communication Technology; Jan2026, Vol. 25 Issue 1, p64-78, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192652007
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Hybrid Machine Learning Model for Streaming Frequency-Based Anomaly Detection in Banking Transactions.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+%26+Communication+Technology%22">Journal of Information & Communication Technology</searchLink>; Jan2026, Vol. 25 Issue 1, p64-78, 15p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.32890/jict2026.25.1.4
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 64
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      – TitleFull: A Hybrid Machine Learning Model for Streaming Frequency-Based Anomaly Detection in Banking Transactions.
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              Text: Jan2026
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              Y: 2026
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