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020 _a9789819983490
_9978-981-99-8349-0
024 7 _a10.1007/978-981-99-8349-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aProceedings of World Conference on Information Systems for Business Management
_h[electronic resource] :
_bISBM 2023, Volume 2 /
_cedited by Andres Iglesias, Jungpil Shin, Bharat Patel, Amit Joshi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 523 p. 152 illus., 112 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v834
505 0 _aChapter 1: Information Systems Field: An Analysis Through a Bibliometric Methodology -- Chapter 2: Feature Extraction and Fusion Method for Detection and Classification of Gastrointestinal Diseases using Deep Learning Algorithms -- Chapter 3: Type-2 Diabetes Mellitus Prediction with Gut Microbes Using Machine Learning Through Shotgun Metagenomic Sequencing -- Chapter 4 PREDICTION OF DIABETICS USING HYBRID FEATURE SELECTION WITH KNN & ANN -- Chapter 5: A Systematic Review of the Relationship Between Supply Chain Risk Management and Sustainability -- Chapter 6: Development of Digital Heritage for Archaeovisit Tourism Resilience: Evidences from E-Lenggong Web Portal -- Chapter 7: Managing Information Leadership for Learning Performance: An Empirical Study among Public School Educators -- Chapter 8: Next Generation Technical Interview Process Automation with Multi-Level Interactive Chatbot based on Intelligent Techniques -- Chapter 9: FEATURE SELECTION USING ARTIFICIAL BEE COLONY AND DISCERNIBILITY MATRIX IN ROUGH SET THEORY- A HYBRID APPROACH -- Chapter 10: Advancing Fish Species Identification in Bangladesh: Deep Learning Approaches for Accurate Freshwater Fish Recognition. etc.
520 _aThis book includes selected papers presented at World Conference on Information Systems for Business Management (ISBM 2023), held in Bangkok, Thailand, during September 7–8, 2023. It covers up-to-date cutting-edge research on data science, information systems, infrastructure and computational systems, engineering systems, business information systems, and smart secure systems.
650 0 _aComputational intelligence.
_964052
650 0 _aArtificial intelligence
_xData processing.
650 0 _aBusiness information services.
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aData Science.
650 2 4 _aBusiness Information Systems.
_966184
700 1 _aIglesias, Andres.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_972256
700 1 _aShin, Jungpil.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_972257
700 1 _aPatel, Bharat.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_972258
700 1 _aJoshi, Amit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819983483
776 0 8 _iPrinted edition:
_z9789819983506
830 0 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v834
856 4 0 _uhttps://doi.org/10.1007/978-981-99-8349-0
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c58229
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