Editorial Notes
NOTICE OF CONCERN: ACM has received evidence that casts doubt on the integrity of the peer review process for the DATA 2019 Conference. As a result, ACM is issuing a Notice of Concern for all papers published and strongly suggests that the papers from this Conference not be cited in the literature until ACM's investigation has concluded and final decisions have been made regarding the integrity of the peer review process for this Conference.
ABSTRACT
Big data term appeared when the data were generated in a huge size. big data is helpful and have many benefits in many applications, it is considered as the upcoming technology in the market. Therefore, many tools developed to analyze this data to benefit from it since it is hard to analyze big data using traditional tools. Because of this, Big Data analytics became one of the most up-to-date topics of research in the last decade. This paper defines big data and mentions its properties, types, and challenges. also, describes big data analytics tools and applications in business, security, health, education, and industry.
- S. Bonthu, "Review of Leading Data Analytics Tools," no. August 2018.Google Scholar
- M. G. Huddar, "A Survey on Big Data Analytical Tools," no. December 2016.Google Scholar
- X. Pham and M. Stack, "How data analytics is transforming agriculture," Bus. Horiz., vol. 61, no. 1, pp. 125--133, 2018.Google ScholarCross Ref
- P. Gnanalingam, "Data analytics in agriculture," no. August 2018, 2019.Google Scholar
- J. M. Sperhac and S. M. Gallo, "VIDIA: A HUBzero gateway for data analytics education," Futur. Gener. Comput. Syst., vol. 94, pp. 833--840, 2019.Google ScholarDigital Library
- J. Murumba and E. Micheni, "Big Data Analytics in Higher Education: A Review," pp. 14--21, 2017.Google Scholar
- B. Kawade and A. Deoskar, "Comparative Study of Data Analytics Open Source Tools for Educational Data Analytics," no. February, pp. 0--3, 2019.Google Scholar
- M. Marttila-kontio, "Advanced Data Analytics Education for Students and Companies," pp. 249--254, 2014.Google Scholar
- K. Baglodi, "ROLE OF BIG DATA IN EDUCATION SECTOR: A REVIEW," no. 1, pp. 1--3, 2018.Google Scholar
- R. D. Raut, S. Kumar, V. S. Narwane, B. B. Gardas, P. Priyadarshinee, and B. E. Narkhede, "Linking big data analytics and operational sustainability practices for sustainable business management," J. Clean. Prod., vol. 224, pp. 10--24, 2019.Google ScholarCross Ref
- "Analytica Chimica Acta Modern data science for analytical chemical data e A comprehensive review ska," vol. 1028, 2018.Google Scholar
- E. Ahmed, I. Yaqoob, I. Abaker, T. Hashem, and I. Khan, "The role of big data analytics in Internet of Things," no. December 2017.Google ScholarDigital Library
- M. Babar, F. Arif, M. Ahmad, Z. Tan, and F. Khan, "Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop," Futur. Gener. Comput. Syst., vol. 96, no. 2019, pp. 398--409, 2020.Google Scholar
- H. Chen, R. H. L. Chiang, and V. C. Storey, "Quarterly -, Business Intelligence and Analytics from Big Data to Big Impact" vol. 36, no. 4, pp. 1165--1188, 2018.Google Scholar
- B. D. Analytics, "Big Data Analytics for Security," no. December, pp. 74--76, 2013.Google Scholar
- E. K. LEE, "Innovation in Big Data Analytics Applications of Mathematical Programming in Medicine and Healthcare," pp. 3586--3595, 2017.Google Scholar
- D. Blazquez and J. Domenech, "Technological Forecasting & Social Change Big Data sources and methods for social and economic analyses," Technol. Forecast. Soc. Chang., vol. 130, no. March 2017, pp. 99--113, 2018.Google ScholarCross Ref
- A. Rghioui and A. Oumnad, "Internet of Things: Visions, Technologies, and Areas of Application," vol. 5, no. 6, pp. 83--91, 2017.Google Scholar
- E. Ahmed, I. Yaqoob, I. Abaker, T. Hashem, and I. Khan, "The role of big data analytics in Internet of Things," no. December 2017.Google ScholarDigital Library
- P. V Desai, "A survey on big data applications and challenges," 2018 Second Int. Conf. Inven. Commun. Comput. Technol., no. Icicct, pp. 737--740, 2018.Google Scholar
- X. D. Dwul et al., "Confrontation and opportunities of big data: A survey" vol. 6859, no. 6 2, pp. 153--157, 2017.Google Scholar
- S. Singh and N. Singh, "Big Data analytics," 2012 Int. Conf. Commun. Inf. Comput. Technol., pp. 1--4, 2012.Google Scholar
- P. Chandarana, "Big Data analytics frameworks," 2014 Int. Conf. Circuits, Syst. Commun. Inf. Technol. Appl., pp. 430--434, 2014.Google Scholar
- C. Reddy, "Big Data Analytics for Healthcare," no. July 2015.Google Scholar
- M. Ojha, "Proposed Application of Big Data Analytics in Healthcare at Maharaja Yeshwantrao Hospital," 2016.Google Scholar
- V. Geeta, "Big Data Analytics for Detection of Frauds in Matrimonial Websites," vol. 5, no. 3, pp. 57--61, 2015.Google Scholar
- H. Neuroscience, "A hybrid machine learning method for fusing fMRI and genetic data: combining both improves classification of schizophrenia," vol. 4, no. October, pp. 1--9, 2010.Google Scholar
- "big_data @ www.webopedia.com.", https://www.webopedia.com/TERM/B/big_data.html.Google Scholar
- B. Custers and H. Urs, "Big data and data reuse: a taxonomy of data reuse for balancing big data benefits and personal data protection," no. July 2015, pp.Google Scholar
- Bowman, M., Debray, S. K., and Peterson, L. L. 1993. Reasoning about naming systems. ACM Trans. Program. Lang. Syst. 15, 5 (Nov. 1993), 795--825. Google ScholarCross Ref
Recommendations
Responsible Big Data Analytics for E-Business Services
ICBDR '21: Proceedings of the 5th International Conference on Big Data ResearchThis paper examines responsible big data analytics for e-business services and looks at how to use responsible big data analytics to obtain responsible e-business services. It addresses why responsibility matters to big data analytics and e-business ...
Big Data with Ten Big Characteristics
ICBDR '18: Proceedings of the 2nd International Conference on Big Data ResearchThis paper reveals ten big characteristics (10 Bigs) of big data and explores their non-linear interrelationships through presenting a unified framework of big data. The framework has three levels: fundamental level, technological level, and socio-...
Comments