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آرشیو :
نسخه تابستان 1398
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نوع مقاله :
پژوهشی
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کد پذیرش :
1346
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موضوع :
مهندسی نرم افزار
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نویسنده/گان :
محمدرضا وظیفه، سهیلا سارانی
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کلید واژه :
هوش مصنوعی، کلان داده، هوش تجاری.
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مراجع :
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[2] Li Da Xu & Lian Duan, (2018), Big data for cyber physical systems in industry 4.0: a survey, Enterprise Information Systems, DOI: 10.1080/17517575.2018.1442934
[3] De Mauro, A., M. Greco, and M. Grimaldi. 2016. “A Formal Definition of Big Data Based on Its Essential Features.”, Library Review 65 (3): 122–135. doi:10.1108/LR-06-2015-0061
[4] Ali Reza Alaei, Susanne Becken and Bela Stantic, (2017), Sentiment Analysis in Tourism: Capitalizing on Big Data, Journal of Travel Research, DOI: 10.1177/0047287517747753
[5] Watson, H. J. (2019). Update Tutorial: Big Data Analytics: Concepts, Technology, and Applications. Communications of the Association for Information Systems, 44, pp-pp. https://doi.org/10.17705/1CAIS.04421
[6] Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71
[7] Darren Edge, Jonathan Larson, Christopher White, (2018), Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform, ACM 978-1-4503-5621-3/18/04…$15.00, https://doi.org/10.1145/3170427.3174367
[8] Tanaporn Panrungsri, Esther Sangiamkul, (2017), Business Intelligence Model for Disaster Management: A Case Study in Phuket, Thailand, WiPe Paper – Operational applications and perspectives, Proceedings of the 14th ISCRAM Conference – Albi, France, pages:727-738
[9] Shah J. Miah, Shahadat KhanShaheb Ali,(2017), Aalysis of interaction between Businesis in Telligence and SMES: Learn from each other, JISTEM - Journal of Information Systems and Technology Management, Vol. 14, No. 2, May/Aug., 2017 pp. 151-168
[10] M. Sigala et al. (eds.), Big Data and Innovation in Tourism, Travel, and Hospitality, © Springer Nature Singapore Pte Ltd. 2019, https://doi.org/10.1007/978-981-13-6339-9_13
[11] Li Tu Shuai Liu, Yan Wang, Chi Zhang , Ping Li, (2019), An optimized cluster storage method for real‑time big data in Internet of Things, © Springer Science+Business Media, LLC, part of Springer Nature 2019, The Journal of Supercomputing ,https://doi.org/10.1007/s11227-019-02773-1
[12] Diego García-Gil, Julián Luengo , Salvador García , Francisco Herrera, (2019), Enabling Smart Data: Noise filtering in Big Data classification,Information Sciences 479 (2019) 135–152.
[13] Weisheng Lu, (2019), Big data analytics to identify illegal construction waste dumping: A Hong Kong study, Resources, Conservation & Recycling 141 (2019) 264–272.
[14] Dariush Khezrimotlagh , Joe Zhu , Wade D. Cook , Mehdi Toloo , Data Envelopment Analysis and Big Data, European Journal of Operational Research (2018), doi: https://doi.org/10.1016/j.ejor.2018.10.044
[15] Leo Willyanto Santoso, (2017), Yulia, Data Warehouse with Big Data Technology for Higher Education, 4th Information Systems International Conference 2017, ISICO 2017, 6-8 November 2017, Bali, Indonesia , Procedia Computer Science 124 (2017) 93–99.
- صفحات : 96-101
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