000 | 04358nam a22005655i 4500 | ||
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001 | 978-3-319-47208-9 | ||
003 | DE-He213 | ||
005 | 20220801221212.0 | ||
007 | cr nn 008mamaa | ||
008 | 161102s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319472089 _9978-3-319-47208-9 |
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024 | 7 |
_a10.1007/978-3-319-47208-9 _2doi |
|
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072 | 7 |
_aUYQ _2bicssc |
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_aTEC009000 _2bisacsh |
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_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. |
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300 |
_aVII, 135 p. 63 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. _4edt _4http://id.loc.gov/vocabulary/relators/edt _954681 |
|
700 | 1 |
_aMach-Król, Maria. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _954682 |
|
700 | 1 |
_aOlszak, Celina M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _954683 |
|
710 | 2 |
_aSpringerLink (Online service) _954684 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319472072 |
776 | 0 | 8 |
_iPrinted edition: _z9783319472096 |
776 | 0 | 8 |
_iPrinted edition: _z9783319836805 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v658 _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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