5b8e6d6a-efc0-4f33-bb5f-49e7563308ef beie director@blueeyesintelligence.org 10.35940/ijrte.E5298.019521 10.3926/jiem.2011.v4n2.p168-193A. Haug, F. Zachariassen, D. van. Liempd, (2011, 04). The costs of poor data quality. JIEM. Vol 4(No 2), pp. 168-193. Available: https://www.jiem.org/index.php/jiem/issue/view/11I. Yaqoo, I. A. T. Hashem, A. Gani, S. Mokhtar, E. Ahmeda,N. B. Anuar, A. V. Vasilakos. (2016, 12), Big data: From beginning to future.IJIM. Vol 36(issue6), pp 1231-1247, Available: https://www.sciencedirect.com/science/article/abs/pii/S026840121630475310.1108/09604521011011603R. Kantsperger, W. H. Kunz. (2010, 01), Consumer Trust in Service Companies:a Multiple Mediating Analysis. Managing Service Quality: An International Journal. Vol 20(issue1). Available: https://www.emerald.com/insight/content/doi/10.1108/09604521011011603/full/html10.1109/InfRKM.2012.6204995F. Sidi, P. H. S. Panahy, L. S. Affendey, M. A. Jabar, H Ibrahim, A. Mustapha, " Data Quality:A Survey of Data Quality Dimensions," in International Conference on Information Retrieval & Knowledge Management., Kuala Lumpur, Malaysia, 2012.P.B. Crosby, "Quality is free: The Art of Making Quality Certain", New York: McGraw-Hill,1979, p 39.E.W.Deming, (1982, juin 01). Quality, Productivity and Competitive Position. (2nd ed.). Cambridge, MA.10.1049/ee.1998.0041Juran on Leadership for Quality, 1998, pp. 15.Maqboul J., Bounabat B. (2018) "Towards a Completeness Prediction Based on the Complexity and Impact," presented at the 1st int. ITCS, khouribgha, MR, Mar. 28-29, 2017.JURAN'S QUALITY HANDBOOK, 5th ed., McGraw-Hill, 1979, pp.21.Management Information Systems Vol 12 pp 5-33 Available http//wwwWang199610.1080/07421222.1996.11518099Beyond Accuracy: What Data Quality Means to Data ConsumersR. Y. Wang and M. Diane. (1996). Beyond Accuracy: What Data Quality Means to Data Consumers. Management Information Systems. Vol 12, pp. 5-33, Available: http://www.jstor.org/stable/4039817610.1145/505248.506010L. L. Pipino, W. Lee. Yang, and R. Y. Wang. (2002, April,). Data quality assessment. Commun. Vol 45, pp, 211-218, Available: https://doi.org/10.1145/505248.506010S. Arestie, R. Harris, N. Ricci, M.A. Schaffner, M.M. Shaw, C. Whitlock, D. Miller, "A bottom-up modeling approach for the profit analysis of cellularized spacecraft architectures." In IAC, Beijing, China, Sept. 23-27, 201310.1007/s10198-010-0268-9A. Hvenegaard, J.N. Arendt, A. et al. Street. (2011), Exploring the relationship between costs and quality: Does the joint evaluation of costs and quality alter the ranking of Danish hospital departments? Eur J Health Econ. Vol 12, pp. 541-551, Available: https://doi.org/10.1007/s10198-010-0268-910.3926/jiem.2011.v4n2.p168-193Anders Haug, Frederik Zachariassen, Dennis van Liempd, The costs of poor data quality,2011.Juran on Leadership for Quality, 1998, pp. 231.L. Theresia, and R. Bangun. (2017), "Service quality that improves customer satisfaction in a university: a case study in Institut Teknologi Indonesi," at 10th in International Seminar on Industrial Engineering and Management "Sustainable Development In Industry and Management", Tanjung Pandan - Belitung, Indonesia, Nov 7-9, 2017.S. E. Zoder, MIPP, "Improving Enterprise Master Data Quality What Is The ROI?." presented at the 8th in AMCIS.,Savannah, Georgia,Aug. 710, 2015.S. A. Sirohey, A. I. Hunjra and B. Khalid, (2012). Impact of Business Process Automation on Employees' Efficiency. Bulletin of Business and Economics, Vol 1(1), pp. 1-12, Available: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3228559NNW Vol 29Fister151201910.14311/NNW.2019.29.011deep learning for stock market trading: a superior trading strategyD. Fister, J. Mun, V. Jagric and T. Jagric, (2019). deep learning for stock market trading: a superior trading strategy. NNW Vol 29, pp. 151-171.T. Karatas, A. Oskoui, A. Hirsa. (2019), Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under VariousDifferent Processes.10.21533/pen.v6i1.143Md. Haidar Sharif, Osman Gursoy, (2018, Feb). Parallel Computing for Artificial Neural Network Training using Java Native Socket Programming. PENS. Vol 6(No 1), pp. 1-10, Available: http://pen.ius.edu.ba10.3109/10826089809115863M. Buscema. (1998), Back Propagation Neural Networks, in Substance Use & Misuse. SUM Vol33(2), Available: https://www.tandfonline.com/doi/abs/10.3109/10826089809115863.10.1109/72.572117S. H. Oh, (1997, May), Improving the error backpropagation algorithm with a modified error function. IEEE TNN, Vol 8(3), pp. 799803, Available: https://ieeexplore.ieee.org/abstract/document/572117.A. Semenov, V. Boginski, E. L. Pasiliao. (2019)," Neural Networks with Multidimensional Cross-Entropy Loss Functions," presented at the 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, Nov 18-20 2019.J. V. N. Lakshmi, "Stochastic Gradient Descent using Linear Regression with Python",2016.P. Christen," Data Matching Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection", Canberra, ACT, Australia, 2012, pp. 8.O. Azeroual, G. Saake, M. Abuosba. (2018, 2), Data Quality Measures and Data Cleansing for Research Information System. 12 Journal of Digital Information Management0, Vol 16(1).10.1007/978-3-319-32467-8_39W. Dai1, I. Wardlaw, Y. C. Kashif Mehdi, L. Yanyan, J. Long. (2016, Mar 29). Data Profiling Technology of Data Governance Regarding Big Data: Review and Rethinking", in (eds) Information Technology: New Generations. Advances in Intelligent Systems and Computing, vol 448. Springer. Avcailable: https://doi.org/10.1007/978-3-319-32467-8_3910.1007/978-981-13-0224-4_32N. Kuma,Shobha,S. C. Jain. (2018, Jul 10), Efficient Data Deduplication for Big Data Storage Systems, Progress in Advanced Computing and Intelligent Engineering. AISC. Available: https://doi.org/10.1007/978981-13-0224-4_32.International Journal of Information Management Vol 38(1)Raguseo187201810.1016/j.ijinfomgt.2017.07.008Big data technologies: An empirical investigation on their adoption, benefits and risks for companiesE. Raguseo, E. (2018). Big data technologies: An empirical investigation on their adoption, benefits and risks for companies. International Journal of Information Management, Vol 38(1), pp. 187-195.K. Avita, M. Wazid, R. H. Goudar. (2017), "Big Data: Issues, Challenges, Tools and Good Practices," presented at the 6th int.International Conference on Contemporary Computing, NOIDA, India, Aug. 8-10, 2013.10.14257/ijhit.2014.7.5.29H. I. Sarker, K. I. Z. Apu, (2014, 09). MVC Architecture Driven Design and Implementation of Java Framework for Developing Desktop 45. Application. IJIT, vol 7(5), pp.317-322, Available: DOI:10.14257/ijhit.2014.7.5.29.10.1016/B978-1-4832-1446-7.50035-2D. E. rumelhart, G. E. hinton, and R. J. Williams. (2014), "Learning Internal Representations by Error Propagation," in Readings in Cognitive Science, 1989, pp. 399-42110.1108/IJoEM-03-2011-0023R. Majumdar, (2014), Business decision making, production technology and process efficiency, IJEM, Vol. 9(1), pp. 79-97, Available: https://doi.org/10.1108/IJoEM-03-2011-0023.P. H. S. Panahy, F. Sidi, L. S. Affendey, M. A. Jabar, H. Ibrahim, A. Mustaph, (2013, 01), A Framework to Construct Data Quality Dimensions Relationships, IJST, Vol 6(5), pp. 4422-4431.L. S. Shapley, "A Value for n-Person Games", RAND Corporation, Santa Monica, Calif, (295), 1952. As of October 20, 2020: https://www.rand.org/pubs/papers/P0295.html.10.1007/978-1-349-20181-5_25S. Hart, "The New Palgrave: Game Theory,", Norton, 1989, pp. 210- 216.H. Bandy, (1997). Developing a Neural Network System. AAII Working Paper. S. Haykin, "Neural Networks: a comprehensive foundatio, pp. 32, 2008.