DESIGN OF DATA ANALYSIS SYSTEMS FOR BUSINESS PROCESS AUTOMATION
Tomasz Rymarczyk
tomasz@rymarczyk.com1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin (Poland)
Tomasz Cieplak
Lublin University of Technology, Faculty of Management, Department of Organization of Enterprise (Poland)
Grzegorz Kłosowski
Lublin University of Technology, Faculty of Management, Department of Organization of Enterprise (Poland)
Paweł Rymarczyk
Research and Development Center, Netrix S.A., Lublin (Poland)
Abstract
The paper deals with the design of data analysis systems for business process automation. The main goal of the project is to develop an innovative system for analyzing multisource data, business data mining processes, and as a result the creation and sharing of new improved procedures and solutions.
Keywords:
Smart system, Multi-source Data, Agent Based ModellingReferences
Baker A.M., Donthu N., Kumar V.: Investigating how word-ofmouth conversations about brands influence purchase and retransmission intentions. Journal of Marketing Research 53(2)/2016, 225–239.
Google Scholar
Bonabeau E.: Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences 99(3)/2002, 7280–7287.
Google Scholar
Borshchev A., Filippov A.: From system dynamics and discrete event to practical agent based modeling: reasons, techniques, tools. Proceedings of the 22nd international conference of the system dynamics society 22. Citeseer, 2004.
Google Scholar
Cearley D.W., Burke B., Searle S., Walker M. J.: Top 10 strategic technology trends for 2018. https://www.gartner.com/doc/3811368/top–strategic-technology-trends
Google Scholar
Chang R. M., Kauffman R. J., Kwon Y.: Understanding the paradigm shift to computational social science in the presence of big data 63/2014, 67–80.
Google Scholar
Demirkan H., Delen D.: Leveraging the capabilities of service oriented decision support systems. Putting analytics and big data in cloud 55(1)/2013, 412–421.
Google Scholar
Huang J.-H., Hsiao T.-T., Chen Y.-F.: The effects of electronic word of mouth on product judgment and choice: The moderating role of the sense of virtual community. Journal of Applied Social Psychology 42(9)/2012, 2326–2347.
Google Scholar
Hudson S., Huang L., Roth M.S., Madden T.J.: The influence of social media interactions on consumer–brand relationships: A three country study of brand perceptions and marketing behaviors. International Journal of Research in Marketing 33(1)/2016, 27–41.
Google Scholar
Jager W.: Simulating consumer behaviour: a perspective. Rapport in het kort, 2006.
Google Scholar
Krizanová A., Stefániková L.: Importance of the brand for consumer purchasing decision in the slovak republic. Verslo Sistemos ir Ekonomika 2(2)/2012.
Google Scholar
Li F., Du T.C.: The effectiveness of word of mouth in offline and online social networks. Expert Systems with Applications 88/2017, 338–351.
Google Scholar
Lien C.-H., Wen M.-J., Huang L.-C., Wu K.-L.: Online hotel booking: The effects of brand image, price, trust and value on purchase intentions. Asia Pacific Management Review 20(4)/2015, 210–218.
Google Scholar
Liu C., Du W.-B., Wang W.-X.: Particle swarm optimization with scale-free interactions PloS one, 9(5)/2014, e97822.
Google Scholar
López M., Sicilia M.: Determinants of e-wom influence: the role of consumers’ internet experience. Journal of theoretical and applied electronic commerce research 9(1)/2014, 28–43.
Google Scholar
Lu J., Yang X., Zhang G.: Support vector machine-based multisource multi-attribute information integration for situation assessment. Expert Systems with Applications 34(2)/2008, 1333–1340.
Google Scholar
Ma Y., Zeng Y., Ren X., Zhong N.: User interests modeling based on multi-source personal information fusion and semantic reasoning. International Conference on Active Media Technology, Springer, 2011, 195–205.
Google Scholar
Marr B.: Really big data at walmart: Real-time insights from their 40+ petabyte data cloud. https://www.forbes.com/sites/bernardmarr/2017/01/23/really-bigdata-at-walmart-real-time-insights-from-their-40-petabyte-data-cloud
Google Scholar
Pan A., Choi T.-M.: An agent-based negotiation model on price and delivery date in a fashion supply chain 242(2)/2014, 529–557.
Google Scholar
Polakowski K., Filipowicz S., Sikora J., Rymarczyk T.: Tomography Technology Application for Workflows of Gases Monitoring in The Automotive Systems. Przegląd Elektrotechniczny 84(12)/2008, 227–229.
Google Scholar
Pöyry E., Parvinen P., Salo J., Blakaj H., Tiainen O.: Online information search and utilization of electronic word-of-mouth. Proceedings of the 13th International Conference on Electronic Commerce ACM 2011, 2.
Google Scholar
Wilensky U.: Netlogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston.
Google Scholar
Yan Q., Wu S., Wang L., Wu P., Chen H., Wei G.: E-wom from e-commerce websites and social media: Which will consumers adopt? Electronic Commerce Research and Applications 17/2016, 62–73.
Google Scholar
Authors
Tomasz Rymarczyktomasz@rymarczyk.com
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin Poland
Authors
Tomasz CieplakLublin University of Technology, Faculty of Management, Department of Organization of Enterprise Poland
Authors
Grzegorz KłosowskiLublin University of Technology, Faculty of Management, Department of Organization of Enterprise Poland
Authors
Paweł RymarczykResearch and Development Center, Netrix S.A., Lublin Poland
Statistics
Abstract views: 523PDF downloads: 354
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Grzegorz Kłosowski, Tomasz Rymarczyk, USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 3 (2017)
- Tomasz Rymarczyk, Grzegorz Kłosowski, THE USE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED IN-HOUSE LOGISTICS CENTRES , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 8 No. 1 (2018)
- Tomasz Rymarczyk, Michał Gołąbek, Piotr Lesiak, Andrzej Marciniak, Mirosław Guzik, CONSTRUCTION OF AN ULTRASONIC TOMOGRAPH FOR ANALYSIS OF TECHNOLOGICAL PROCESSES IN THE FIELD OF REFLECTION AND TRANSMISSION WAVES , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 4 (2019)
- Tomasz Rymarczyk, Bartek Przysucha, Marcin Kowalski, Piotr Bednarczuk, ANALYSIS OF DATA FROM MEASURING SENSORS FOR PREDICTION IN PRODUCTION PROCESS CONTROL SYSTEMS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 4 (2019)
- Tomasz Rymarczyk, Jan Sikora, SINGULAR INTEGRATION IN BOUNDARY ELEMENT METHOD FOR HELMHOLTZ EQUATION FORMULATED IN FREQUENCY DOMAIN , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 11 No. 4 (2021)
- Tomasz Rymarczyk, Krzysztof Polakowski, Jan Sikora, A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 4 (2019)
- Tomasz Rymarczyk, Jan Sikora, SOME MORE ON LOGARITHMIC SINGULARITY INTEGRATION IN BOUNDARY ELEMENT METOD , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 14 No. 1 (2024)
- Konrad Niderla, Tomasz Rymarczyk, Jan Sikora, MANUFACTURING PLANNING AND CONTROL SYSTEM USING TOMOGRAPHIC SENSORS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 8 No. 3 (2018)
- Tomasz Rymarczyk, Jan Sikora, ON PRECISION ACOUSTIC WAVE CALCULATION IN A FREQUENCY DOMAIN , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 2 (2022)
- Grzegorz Kłosowski, Tomasz Rymarczyk, APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN WALL MOISTURE IDENTIFICATION BY EIT METHOD , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 1 (2022)