001446882 000__ 03068cam\a2200625\i\4500
001446882 001__ 1446882
001446882 003__ OCoLC
001446882 005__ 20230310004022.0
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001446882 007__ cr\cn\nnnunnun
001446882 008__ 220521s2022\\\\sz\\\\\\o\\\\\101\0\eng\d
001446882 020__ $$a9783031059360$$q(electronic book)
001446882 020__ $$a3031059360$$q(electronic book)
001446882 020__ $$z3031059352
001446882 020__ $$z9783031059353
001446882 0247_ $$a10.1007/978-3-031-05936-0$$2doi
001446882 035__ $$aSP(OCoLC)1319213512
001446882 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dGW5XE$$dEBLCP$$dYDX$$dOCLCF$$dOCLCQ
001446882 049__ $$aISEA
001446882 050_4 $$aQA76.9.D343
001446882 08204 $$a006.3$$223/eng/20220524
001446882 1112_ $$aPAKDD (Conference)$$n(26th :$$d2022 :$$cChengdu, China ; Online)
001446882 24510 $$aAdvances in knowledge discovery and data mining :$$b26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings.$$nPart II /$$cJoão Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng (eds.).
001446882 2463_ $$aPAKDD 2022
001446882 264_1 $$aCham :$$bSpringer,$$c2022.
001446882 300__ $$a1 online resource (570 pages)
001446882 336__ $$atext$$btxt$$2rdacontent
001446882 337__ $$acomputer$$bc$$2rdamedia
001446882 338__ $$aonline resource$$bcr$$2rdacarrier
001446882 4901_ $$aLecture notes in computer science ;$$v13281
001446882 4901_ $$aLNCS sublibrary: SL 7, Artificial intelligence
001446882 500__ $$aIncludes author index.
001446882 5050_ $$aData Science -- Big Data -- Data mining. Model selection, -- Biological data -- IoT data, -- Deep learning. Meta-learning -- Security -- Privacy.
001446882 506__ $$aAccess limited to authorized users.
001446882 520__ $$aThe 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.
001446882 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 24, 2022).
001446882 650_0 $$aData mining$$vCongresses.
001446882 650_0 $$aArtificial intelligence$$vCongresses.
001446882 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001446882 655_0 $$aElectronic books.
001446882 7001_ $$aGama, João.
001446882 7001_ $$aLi, Tianrui.
001446882 7001_ $$aYu, Yang.
001446882 7001_ $$aChen, Enhong.
001446882 7001_ $$aZheng, Yu.
001446882 7001_ $$aTeng, Fei.
001446882 77608 $$iPrint version:$$aGama, João$$tAdvances in Knowledge Discovery and Data Mining$$dCham : Springer International Publishing AG,c2022$$z9783031059353
001446882 830_0 $$aLecture notes in computer science ;$$v13281.
001446882 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001446882 852__ $$bebk
001446882 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-05936-0$$zOnline Access$$91397441.1
001446882 909CO $$ooai:library.usi.edu:1446882$$pGLOBAL_SET
001446882 980__ $$aBIB
001446882 980__ $$aEBOOK
001446882 982__ $$aEbook
001446882 983__ $$aOnline
001446882 994__ $$a92$$bISE