Data Asset Model Construction Based on Naive Bayes Algorithm Technology

dc.contributor.author Lei Wang
dc.contributor.author Güzin Mayzus
dc.contributor.author Mayzus, Güzin
dc.contributor.author Wang, Lei
dc.contributor.editor S. Sun , P. Yu , J. Zou , T. Hong
dc.date.accessioned 2025-10-06T17:50:08Z
dc.date.issued 2022
dc.description.abstract With the advent of the era of big data there has been a call to identify data resources as assets and enter the enterprise balance sheet accounting. However there are still different opinions about whether data resources should be recognized as assets. No matter whether the existing research advocates identifying data resources as assets or not its research methods are usually normative studies based on the logic basis of accounting standards but lack of methods to guide the practice. This paper focuses on the accounting recognition of data assets and combines the essential characteristics of big data to build a model based on Naive Bayes method which can assist enterprises to carry out the accounting recognition of data assets. © 2022 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/978-981-19-4775-9_59
dc.identifier.isbn 9789819680023, 9789819658473, 9789819600571, 9789819644292, 9789819637577, 9783319030135, 9783642363283, 9789819648115, 9783642384653, 9789819920914
dc.identifier.isbn 9789811947742
dc.identifier.issn 18761119, 18761100
dc.identifier.issn 1876-1100
dc.identifier.scopus 2-s2.0-85141717298
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141717298&doi=10.1007%2F978-981-19-4775-9_59&partnerID=40&md5=5997b785f853e8a59808a110bb59aade
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8784
dc.identifier.uri https://doi.org/10.1007/978-981-19-4775-9_59
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof 9th International Conference on Signal and Information Processing Network and Computers ICSINC 2021
dc.rights info:eu-repo/semantics/closedAccess
dc.source Lecture Notes in Electrical Engineering
dc.subject Accounting Confirmation, Assets, Data Resources, Information Technology, Naive Bayes, Classifiers, Computation Theory, Accounting Confirmation, Accounting Standards, Asset, Balance Sheets, Data Assets, Data Resources, Model Construction, Naive Bayes, Naive-bayes Algorithm, Research Method, Big Data
dc.subject Classifiers, Computation theory, Accounting confirmation, Accounting standards, Asset, Balance sheets, Data assets, Data resources, Model construction, Naive bayes, Naive-Bayes algorithm, Research method, Big data
dc.subject Accounting Confirmation
dc.subject Assets
dc.subject Information Technology
dc.subject Naive Bayes
dc.subject Data Resources
dc.title Data Asset Model Construction Based on Naive Bayes Algorithm Technology
dc.type Conference Object
dspace.entity.type Publication
gdc.author.scopusid 57223431829
gdc.author.scopusid 57960425000
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gdc.description.department
gdc.description.departmenttemp [Wang L.] Department of Finance, Gingko College of Hospitality Management, Sichuan, Chengdu, China; [Mayzus G.] Yasar University, İzmir, Turkey
gdc.description.endpage 485
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 478
gdc.description.volume 895 LNEE
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oaire.citation.endPage 485
oaire.citation.startPage 478
person.identifier.scopus-author-id Wang- Lei (57223431829), Mayzus- Güzin (57960425000)
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