001448485 000__ 04836cam\a2200625\a\4500 001448485 001__ 1448485 001448485 003__ OCoLC 001448485 005__ 20230310004241.0 001448485 006__ m\\\\\o\\d\\\\\\\\ 001448485 007__ cr\un\nnnunnun 001448485 008__ 220806s2022\\\\sz\\\\\\o\\\\\101\0\eng\d 001448485 019__ $$a1337523356 001448485 020__ $$a9783031122859$$q(electronic bk.) 001448485 020__ $$a3031122852$$q(electronic bk.) 001448485 020__ $$z9783031122842 001448485 020__ $$z3031122844 001448485 0247_ $$a10.1007/978-3-031-12285-9$$2doi 001448485 035__ $$aSP(OCoLC)1337943578 001448485 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dOCLCQ$$dOCLCF$$dOCLCQ 001448485 049__ $$aISEA 001448485 050_4 $$aT58.6$$bI58 2021eb 001448485 08204 $$a658.4/038$$223/eng/20220808 001448485 1112_ $$aInternational Conference on Data Analytics and Management in Data Intensive Domains$$n(23rd :$$d2021 :$$cOnline) 001448485 24510 $$aData analytics and management in data intensive domains :$$b23rd International Conference, DAMDID/RCDL 2021, Moscow, Russia, October 26-29, 2021, Revised selected papers /$$cAlexei Pozanenko, Sergey Stupnikov, Bernhard Thalheim, Eva Mendez, Nadezhda Kiselyova (eds.). 001448485 2463_ $$aDAMDID/RCDL 2021 001448485 260__ $$aCham :$$bSpringer,$$c2022. 001448485 300__ $$a1 online resource (272 pages) 001448485 336__ $$atext$$btxt$$2rdacontent 001448485 337__ $$acomputer$$bc$$2rdamedia 001448485 338__ $$aonline resource$$bcr$$2rdacarrier 001448485 4901_ $$aCommunications in computer and information science ;$$vv. 1620 001448485 500__ $$a"However, because of the worldwide COVID-19 crisis, DAMDID/RCDL 2021 had to take place online."--Preface 001448485 500__ $$aIncludes author index. 001448485 5050_ $$aProblem Solving Infrastructures, Experiment Organization, and Machine Learning Applications -- MLDev: Data Science Experiment Automation and Reproducibility Software -- Response to Cybersecurity Threats of Informational Infrastructure Based on Conceptual Models -- Social Network Analysis of the Professional Community Interaction -- Movie Industry Case -- Data Analysis in Astronomy -- Cross-Matching of Large Sky Surveys and Study of Astronomical Objects Apparent in Ultraviolet Band Only -- The Diversity of Light Curves of Supernovae Associated with Gamma-Ray Bursts -- Application of Machine Learning Methods for Cross-Matching Astronomical Catalogs -- Pipeline for Detection of Transient Objects in Optical Surveys -- VALD in Astrophysics -- Data Analysis in Material and Earth Sciences -- Machine Learning Application to Predict New Inorganic Compounds Results and Perspectives -- Interoperability and Architecture Requirements Analysis and Metadata Standardization for a Research Data Infrastructure in Catalysis -- Fast Predictions of Lattice Energies by Continuous Isometry Invariants of Crystal Structures -- Image Recognition for Large Soil Maps Archive Overview: Metadata Extraction and Georeferencing Tool Development -- Information Extraction from Text -- Cross-lingual Plagiarism Detection Method -- Methods for Automatic Argumentation Structure Prediction -- A System for Information Extraction from Scientific Texts in Russian -- Improving Neural Abstractive Summarization with Reliable Sentence Sampling. 001448485 506__ $$aAccess limited to authorized users. 001448485 520__ $$aThis book constitutes the post-conference proceedings of the 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*. The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: problem solving infrastructures, experiment organization, and machine learning applications; data analysis in astronomy; data analysis in material and earth sciences; information extraction from text * The conference was held virtually due to the COVID-19 pandemic. 001448485 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 8, 2022). 001448485 650_0 $$aManagement information systems$$vCongresses. 001448485 650_0 $$aKnowledge management$$vCongresses. 001448485 650_0 $$aInformation technology$$vCongresses. 001448485 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001448485 655_0 $$aElectronic books. 001448485 7001_ $$aPozanenko, Alexei. 001448485 7001_ $$aStupnikov, Sergey. 001448485 7001_ $$aThalheim, B.$$q(Bernhard),$$d1952- 001448485 7001_ $$aMéndez, Eva. 001448485 7001_ $$aKiselyova, Nadezhda. 001448485 77608 $$iPrint version:$$aPozanenko, Alexei.$$tData Analytics and Management in Data Intensive Domains.$$dCham : Springer International Publishing AG, ©2022$$z9783031122842 001448485 830_0 $$aCommunications in computer and information science ;$$v1620. 001448485 852__ $$bebk 001448485 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12285-9$$zOnline Access$$91397441.1 001448485 909CO $$ooai:library.usi.edu:1448485$$pGLOBAL_SET 001448485 980__ $$aBIB 001448485 980__ $$aEBOOK 001448485 982__ $$aEbook 001448485 983__ $$aOnline 001448485 994__ $$a92$$bISE