000 04120nam a22005415i 4500
001 978-3-031-66761-9
003 DE-He213
005 20251030112840.0
007 cr nn 008mamaa
008 240806s2024 sz | s |||| 0|eng d
020 _a9783031667619
_9978-3-031-66761-9
024 7 _a10.1007/978-3-031-66761-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aEmerging Challenges in Intelligent Management Information Systems
_h[electronic resource] :
_bProceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop /
_cedited by Marcin Hernes, Jarosław Wątróbski.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXV, 344 p. 109 illus., 85 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v1079
505 0 _aUncovering Patterns in Training Skills with ABA Rule Extraction from the SYSABA Database -- Ensemble Learning Approach To Fake News Detection Problem -- SMAP Smart Personalized Medication Assistant to Help Nurses in Medication Adherence -- The Use of Modern Technologies in Decision Making by Polish Farmers -- Decision Support in Production Environment Using Artificial Intelligence.
520 _aThis book contains the proceedings of the ECAI 2023 Workshop on Intelligent Management Information Systems (IMIS 2023). IMIS 2023 was part of the 26th European Conference on Artificial Intelligence ECAI 2023, held in Krakow from September 30, 2023, to October 4, 2023. The book discusses emerging challenges related to implementing artificial intelligence in Management Information Systems. The main focus is put on machine learning, including deep learning to support business processes, artificial intelligence for financial systems and cryptocurrencies, intelligent human–computer interfaces, knowledge management in business organizations, hybrid artificial intelligence, and multiple criteria decision analysis methods. The book is divided into four major parts covering the main issues related to the topic. The first part presents issues related to application of artificial intelligence in information systems. The second part is devoted to advanced machine learning methods to support business processes. The third part presents problems related to the social aspects of artificial intelligence in management. The fourth part is devoted to intelligent multiple criteria decision analysis methods. The book holds an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists.
650 0 _aComputational intelligence.
_964052
650 0 _aArtificial intelligence.
_958441
650 0 _aEngineering
_xData processing.
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aData Engineering.
_966059
700 1 _aHernes, Marcin.
_eeditor.
_0(orcid)0000-0002-3832-8154
_1https://orcid.org/0000-0002-3832-8154
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_981975
700 1 _aWątróbski, Jarosław.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977637
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031667602
776 0 8 _iPrinted edition:
_z9783031667626
830 0 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v1079
856 4 0 _uhttps://doi.org/10.1007/978-3-031-66761-9
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c62272
_d62272