By Tomasz Pelech-Pilichowski, Maria Mach-Król, Celina M. Olszak

This booklet discusses the powerful use of recent ICT suggestions for company wishes, together with the effective use of IT assets, determination aid platforms, company intelligence, info mining and complex info processing algorithms, in addition to the processing of huge datasets (inter alia social networking resembling Twitter and fb, etc.). the facility to generate, list and approach qualitative and quantitative facts, together with within the region of huge information, the net of items (IoT) and cloud computing bargains a true prospect of important advancements for company, in addition to the operation of a firm inside 4.0. The booklet provides new rules, methods, strategies and algorithms within the region of information illustration, administration and processing, quantitative and qualitative information processing (including sentiment analysis), difficulties of simulation functionality, and using complicated sign processing to extend the rate of computation. The suggestions awarded also are geared toward the powerful use of industrial approach modeling and notation (BPMN), enterprise approach semantization and funding undertaking portfolio choice. it's a invaluable source for researchers, facts analysts, marketers and IT pros alike, and the learn findings offered give the chance to minimize expenses, bring up the accuracy of funding, optimize assets and streamline operations and marketing.

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ISBN 978-3-662-49851-4. 1007/978-3-662-49851-4 17. G. Xylomenos, G. C. Polyzos, P. Mahonen, and M. Saaranen, “TCP performance issues over wireless links,” IEEE Communications Magazine, vol. 39, no. 4, pp. 52–58, Apr 2001. doi: 10. 917504 18. M. C. Chan and R. Ramjee, “TCP/IP performance over 3G wireless links with rate and delay variation,” Wireless Networks, vol. 11, no. 1-2, pp. 81–97, Jan. 2005. 1007/s11276004-4748-7 Cognitum Ontorion: Knowledge Representation and Reasoning System Paweł Kaplanski and Pawel Weichbroth Abstract At any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem.

In FedCSIS, 2013, pp. 1119–1126. 4. : The system framework for profiling the content of web portals. W: Korczak J. ): Business Informatics. Data mining and Business Intelligence. Research Papers of Wroclaw University of Economics. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocawiu, Wrocaw 2009, pp. 186–193. 42 P. Kaplanski and P. Weichbroth 5. P. Weichbroth and M. Owoc, “A framework for web usage mining based on multi-agent and expert system an application to web server log files,” Prace Naukowe Uniwersytetu Ekonomicznego we Wrocawiu, no.

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