001451996 000__ 03658cam\a2200625\i\4500
001451996 001__ 1451996
001451996 003__ OCoLC
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001451996 020__ $$a9783031235016$$q(electronic bk.)
001451996 020__ $$a3031235010$$q(electronic bk.)
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001451996 050_4 $$aQA76.9.B45
001451996 08204 $$a005.7$$223/eng/20221228
001451996 1112_ $$aBigData (Conference)$$n(11th :$$d2022 :$$cHonolulu, Hawaii.)
001451996 24510 $$aBig Data - BigData 2022 :$$b11th international conference, held as part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022 : proceedings /$$cBo Hu, Yunni Xia, Yiwen Zhang, Liang-Jie Zhang (eds.).
001451996 24630 $$aBigData 2022
001451996 24630 $$aSCF 2022
001451996 264_1 $$aCham :$$bSpringer,$$c[2022]
001451996 264_4 $$c©2022
001451996 300__ $$a1 online resource (xv, 89 pages) :$$billustrations (chiefly color).
001451996 336__ $$atext$$btxt$$2rdacontent
001451996 337__ $$acomputer$$bc$$2rdamedia
001451996 338__ $$aonline resource$$bcr$$2rdacarrier
001451996 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13730
001451996 500__ $$aInternational conference proceedings.
001451996 500__ $$aIncludes author index.
001451996 5050_ $$aA Massive Data Retrieval Method for Power Information Collection Systems -- Research and Application of the Data Resource Directory System of the Aerospace Enterprise -- Performance Analysis of Cross-border Mergers and Acquisitions of Baiyuan Pants Industry in the Internet Era -- Topic Modeling in the ENRON dataset -- Design of Multi-data Sources based Forest Fire Monitoring and Early Warning System -- Research on the pricing method of power data assets -- Research and Design on the Confirmation Method of Power Data Assets -- Big Data Technology in Real Estate Industry: Scenarios and Benefits -- Copyright and AI: Are extant laws adequate?
001451996 506__ $$aAccess limited to authorized users.
001451996 520__ $$aThis book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services.
001451996 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 28, 2022).
001451996 650_0 $$aBig data$$vCongresses.
001451996 655_0 $$aElectronic books.
001451996 655_7 $$aConference papers and proceedings.$$2lcgft
001451996 7001_ $$aHu, Bo,$$eeditor.
001451996 7001_ $$aXia, Yunni,$$eeditor.
001451996 7001_ $$aZhang, Yiwen,$$eeditor.
001451996 7001_ $$aZhang, Liang-Jie,$$eeditor.
001451996 7102_ $$aServices Conference Federation.$$bConference$$d(2022 :$$cHonolulu, Hawaii)
001451996 77608 $$iPrint version: $$z3031235002$$z9783031235009$$w(OCoLC)1352964009
001451996 830_0 $$aLecture notes in computer science ;$$v13730.$$x1611-3349
001451996 852__ $$bebk
001451996 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-23501-6$$zOnline Access$$91397441.1
001451996 909CO $$ooai:library.usi.edu:1451996$$pGLOBAL_SET
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