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001 978-3-319-47208-9
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020 _a9783319472089
_9978-3-319-47208-9
024 7 _a10.1007/978-3-319-47208-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Business ICT: New Ideas from Ongoing Research
_h[electronic resource] /
_cedited by Tomasz Pełech-Pilichowski, Maria Mach-Król, Celina M. Olszak.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVII, 135 p. 63 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v658
505 0 _aAdvances in Business ICT: New Ideas from Ongoing Research -- Verification of Temporal Knowledge Bases as an Important Aspect of Knowledge Management Processes in Organization -- The role of simulation performance in software-in-the-loop simulations -- Cognitum Ontorion: Knowledge Representation and Reasoning System -- Overview of Selected Business Process Semantization Techniques -- Selected Approaches Towards Taxonomy of Business Process Anomalies -- Hybrid framework for investment project portfolio selection -- Towards Predicting Stock Price Moves with Aid of Sentiment Analysis of Twitter Social Network Data and Big Data Processing Environment -- On a Property of Phase Correlation and Possibilities to Reduce the Walsh Function System.
520 _aThis book discusses the effective use of modern ICT solutions for business needs, including the efficient use of IT resources, decision support systems, business intelligence, data mining and advanced data processing algorithms, as well as the processing of large datasets (inter alia social networking such as Twitter and Facebook, etc.). The ability to generate, record and process qualitative and quantitative data, including in the area of big data, the Internet of Things (IoT) and cloud computing offers a real prospect of significant improvements for business, as well as the operation of a company within Industry 4.0. The book presents new ideas, approaches, solutions and algorithms in the area of knowledge representation, management and processing, quantitative and qualitative data processing (including sentiment analysis), problems of simulation performance, and the use of advanced signal processing to increase the speed of computation. The solutions presented are also aimed at the effective use of business process modeling and notation (BPMN), business process semantization and investment project portfolio selection. It is a valuable resource for researchers, data analysts, entrepreneurs and IT professionals alike, and the research findings presented make it possible to reduce costs, increase the accuracy of investment, optimize resources and streamline operations and marketing.
650 0 _aComputational intelligence.
_97716
650 0 _aBusiness information services.
_928705
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aIT in Business.
_933373
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aPełech-Pilichowski, Tomasz.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aMach-Król, Maria.
_eeditor.
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700 1 _aOlszak, Celina M.
_eeditor.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319472096
776 0 8 _iPrinted edition:
_z9783319836805
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
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_954685
856 4 0 _uhttps://doi.org/10.1007/978-3-319-47208-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
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