A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests.

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Title: A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests.
Authors: Bandyopadhyay, Subhadip1 subhadip.bandyopadhyay@ericsson.com, Bose, Joy1 joy.bose@ericsson.com, Chowdhury, Sujoy Roy1 sujoy.roychowdhury@ericsson.com
Source: International Journal of Mathematical, Engineering & Management Sciences. Jun2025, Vol. 10 Issue 3, p777-796. 20p.
Database: Business Source Ultimate
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=184689297
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.33889/IJMEMS.2025.10.3.039
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 777
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      – TitleFull: A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests.
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            NameFull: Bandyopadhyay, Subhadip
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            NameFull: Bose, Joy
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              Text: Jun2025
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