001441882 000__ 04355cam\a2200625Ii\4500 001441882 001__ 1441882 001441882 003__ OCoLC 001441882 005__ 20230309003347.0 001441882 006__ m\\\\\o\\d\\\\\\\\ 001441882 007__ cr\un\nnnunnun 001441882 008__ 220220s2021\\\\sz\a\\\\o\\\\\101\0\eng\d 001441882 019__ $$a1298559692$$a1298656145$$a1298678325 001441882 020__ $$a9783030937362$$q(electronic bk.) 001441882 020__ $$a3030937364$$q(electronic bk.) 001441882 020__ $$z9783030937355 001441882 020__ $$z3030937356 001441882 020__ $$z3030937321 001441882 020__ $$z9783030937324 001441882 0247_ $$a10.1007/978-3-030-93736-2$$2doi 001441882 035__ $$aSP(OCoLC)1298513101 001441882 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dOCLCO$$dOCLCQ$$dN$T 001441882 049__ $$aISEA 001441882 050_4 $$aQ325.5$$b.M33 2021 001441882 08204 $$a006.3/1$$223 001441882 24500 $$aMachine learning and principles and practice of knowledge discovery in databases :$$binternational workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings.$$nPart I /$$cMichael Kamp [and others] (eds.). 001441882 24630 $$aECML PKDD 2021 001441882 264_1 $$aCham :$$bSpringer,$$c[2021] 001441882 264_4 $$c©2021 001441882 300__ $$a1 online resource :$$billustrations (chiefly color). 001441882 336__ $$atext$$btxt$$2rdacontent 001441882 337__ $$acomputer$$bc$$2rdamedia 001441882 338__ $$aonline resource$$bcr$$2rdacarrier 001441882 4901_ $$aCommunications in computer and information science ;$$v1524 001441882 500__ $$aInternational conference proceedings. 001441882 500__ $$aIncludes index. 001441882 5050_ $$aAdvances in Interpretable Machine Learning and Artificial Intelligence -- Parallel, Distributed, and Federated Learning -- Graph Embedding and Mining -- Machine Learning for Irregular Time Series -- IoT, Edge, and Mobile for Embedded Machine Learning -- eXplainable Knowledge Discovery in Data Mining -- Bias and Fairness in AI -- International Workshop on Active Inference. . 001441882 506__ $$aAccess limited to authorized users. 001441882 520__ $$aThis two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops: Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021) Workshop on Parallel, Distributed and Federated Learning (PDFL 2021) Workshop on Graph Embedding and Mining (GEM 2021) Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021) Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021) Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021) Workshop on Bias and Fairness in AI (BIAS 2021) Workshop on Workshop on Active Inference (IWAI 2021) Workshop on Machine Learning for Cybersecurity (MLCS 2021) Workshop on Machine Learning in Software Engineering (MLiSE 2021) Workshop on MIning Data for financial applications (MIDAS 2021) Sixth Workshop on Data Science for Social Good (SoGood 2021) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021) Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021). 001441882 588__ $$aDescription based on print version record. 001441882 650_0 $$aMachine learning$$vCongresses. 001441882 650_6 $$aApprentissage automatique$$vCongrès. 001441882 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001441882 655_7 $$aConference papers and proceedings.$$2lcgft 001441882 655_7 $$aActes de congrès.$$2rvmgf 001441882 655_0 $$aElectronic books. 001441882 7001_ $$aKamp, Michael,$$eeditor. 001441882 7112_ $$aECML PKDD (Conference)$$d(2021 :$$cOnline) 001441882 77608 $$iPrint version:$$tMachine learning and principles and practice of knowledge discovery in databases : Part I.$$dCham : Springer, 2022$$z9783030937355$$w(OCoLC)1295185779 001441882 830_0 $$aCommunications in computer and information science ;$$v1524. 001441882 852__ $$bebk 001441882 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-93736-2$$zOnline Access$$91397441.1 001441882 909CO $$ooai:library.usi.edu:1441882$$pGLOBAL_SET 001441882 980__ $$aBIB 001441882 980__ $$aEBOOK 001441882 982__ $$aEbook 001441882 983__ $$aOnline 001441882 994__ $$a92$$bISE