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020 _a9789819776160
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024 7 _a10.1007/978-981-97-7616-0
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072 7 _aCOM004000
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245 1 0 _aProceedings of the First International Conference on Data Engineering and Machine Intelligence
_h[electronic resource] :
_bICDEMI 2023 /
_cedited by S. Rakesh Kumar, Seifedine Kadry, N. Gayathri, Pethuru Raj Chelliah.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXII, 443 p. 230 illus., 205 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v1261
520 _aThis volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners. .
650 0 _aComputational intelligence.
_964052
650 0 _aEngineering
_xData processing.
650 0 _aArtificial intelligence.
_958441
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aData Engineering.
_966059
650 2 4 _aArtificial Intelligence.
_958441
700 1 _aKumar, S. Rakesh.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aKadry, Seifedine.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aGayathri, N.
_eeditor.
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_989353
700 1 _aChelliah, Pethuru Raj.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Electrical Engineering,
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856 4 0 _uhttps://doi.org/10.1007/978-981-97-7616-0
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