Abstract
Big Data is one of the most important challenges of the modern digital world. The possibilities of processing large amounts of data of various types and complexity, coming from various information sources, are used in many areas. The use of Big Data systems will take place in practical areas of all life. The article proposed the system BLINDS, its characteristics and assumptions of the data pre-processing module.
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References
Buhl, H., Röglinger, M., Moser, F., Heidemann, J.: Big data. Bus. Inf. Syst. Eng. 5(2), 65–69 (2013)
Zikopoulos, P., Eaton, C., deRoos, D., Deutsch, T., Lapis, G.: Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw Hill, New York (2012)
Doug, L.: Data Management: Controlling Data Volume, Velocity, and Variety, Application Delivery Strategies. META Group, Gartner, Stamford (2011)
Chang, C., Kayed, M., Girgis, M.R., Shaalan, K.F.: A survey of web information extraction systems. IEEE Trans. Knowl. Data Eng. 18(10), 1411–1428 (2006)
Jinchuan, C., Yueguo, C., Xiaoyong, D., Cuiping, L., Jiaheng, L., Suyun, Z., Xuan, Z.: Big data challenge: a data management perspective. Front. Comput. Sci. 7(2), 157–164 (2013). SP Higher Education Press
Katal, A., Wazid, M., Goudar, R.H.: Big data: issues, challenges, tools and good practices. In: 2013 Sixth International Conference on Contemporary Computing (IC3), pp. 404–409. IEEE, Noida (2013)
Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F.: Mastering The Information Age – Solving Problems with Visual Analytics. Eurographics Association, Goslar (2010)
Labrinidis, A., Jagadish, H.: Challenges and opportunities with big data. Proc. VLDB Endow. 5(12), 2032–2033 (2012)
Tabakow, M., Korczak, J., Franczyk, B.: Big data–definition, challenges and information technologies. Bus. Inform. 1(31), 138–153 (2014)
Maslankowski, J.: Analysis of the quality of data obtained from websites using Big Data solutions. Ann. Collegium Econ. Anal. 38, 167–177, (2015)
Marz N., Warren J.: Big Data Principles and Best Practices. Manning Publications Co., Greenwich (2015)
Zadeh, L.A.: Computing with Words: Principal Concepts and Ideas. Springer Publishing Company Incorporated, Heidelberg (2012)
Schank, R.C.: Conceptual Information Processing. Yale University, New Haven (1975)
BBC: Connecting with people in six steps. http://news.bbc.co.uk/2/hi/programmes/more_or_less/5176698.stm
Bobulski, J.: Multimodal face recognition method with two-dimensional hidden Markov model. Bull. Pol. Acad. Sci. Tech. Sci. 65(1), 121–128 (2017)
Kubanek, M., Bobulski, J., Adrjanowicz, L.: Characteristics of the use of coupled hidden Markov models for audio-visual Polish speech recognition. Bull. Pol. Acad. Sci. Tech. Sci. 60(2), 307–316 (2012)
Bobulski,, J.: Parallel facial recognition system based on 2DHMM. In: Advances in Intelligent Systems and Computing, vol. 534, pp. 258–265. Springer (2017)
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Bobulski, J., Kubanek, M. (2019). Design of the BLINDS System for Processing and Analysis of Big Data - A Pre-processing Data Analysis Module. In: PejaÅ›, J., El Fray, I., Hyla, T., Kacprzyk, J. (eds) Advances in Soft and Hard Computing. ACS 2018. Advances in Intelligent Systems and Computing, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-030-03314-9_12
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