Guest Editors’ Introduction: Special Issue on Big Data Intelligence and Computing

• Autorzy: Kobusińska, A , Hsu, C. H.
• Języki publikacji: EN
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2016
• Tom: Vol. 41, No. 3
• Strony: 145--149
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Kobusińska, A

• Poznan University of Technology, Institute of Computing Science, Poznan, Poland ,

autor

Hsu, C. H.

• Chung Hua University, Department of Computer Science and Information Engineering, Taiwan,

Bibliografia

• [1] V. Mayer-Schnberger, and K. Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think, Amazon, 2014.
• [2] N. Japkowicz, and J. Stefanowski (Eds.), Big Data Analysis: New Algorithms for a New Society, Studies in Big Data, 2016.
• [3] Jaroslav Pokorný, How to Store and Process Big Data: Are Today’s Databases Sufficient?, Proceedings of Computer Information Systems and Industrial Management - 13th IFIPTC8 International Conference, CISIM 2014, Ho Chi Minh City, Vietnam, November 5-7, 2014, pp. 631–643.
• [4] J. Abawajy, Comprehensive analysis of big data variety landscape, International Journal of Parallel, Emergent and Distributed Systems, 30:5–14, 2015.
• [5] M.A. Beyer, and D. Laney, The Importance of Big Data: A Definition, Gartner, 2012, https://www.gartner.com/doc/2057415.
• [6] A.D. Duncan, Focus on the Three Vs of Big Data Analytics: Variability, Veracity and Value, Gartner, 2014, https://www.gartner.com/doc/2921417/focus-vs-big-data-analytics.
• [7] A. McAfee, and F. Brynjolfsson, Big Data: The Management Revolution, Harvard Business Review, 2012.
• [8] J. Amudhavel, V. Padmapriya, V. Gowri, K. Lakshmipriya, K. Kumar, and B. Thiyagarajan, Perspectives, Motivations and Implications of Big Data Analytics, Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering Technology (ICARCSET 2015), ACM, 2015, pp. 34:1–34:5.
• [9] A. Gandomi, and M. Haider, Beyond the hype, International Journal of Information Management: The Journal for Information Professional, ACM, 35, 2, pp. 137-144, 2015.
• [10] H. Chen, R.H.L. Chiang, and V.C. Storey, Business intelligence and analytics: from big data to big impact, Journal MIS Quarterly, ACM, 36, 4, pp. 1165-1188, 2012.
• [11] A. Ribeiro, A. Silva, and A.R. da Silva, Data Modeling and Data Analytics: A Survey from a Big Data Perspective, Journal of Software Engineering and Applications, 8, pp. 617-634, 2015.
• [12] J.H. Abawajy, A.Y. Zomaya, and I. Stojmenovic, Network computing and applications for Big Data analytics, J. Network and Computer Applications, 59:361, 2016.
• [13] F. Xhafa, L. Barolli, A. Barolli, P. Papajorgji (Eds.), Modeling and Processing for Next-Generation Big-Data Technologies With Applications and Case Studies, Modeling and Optimization in Science and Technologies Springer, 2015.
• [14] D. Gil, and I.-Y. Song, Modeling and Management of Big Data: Challenges and opportunities, Future Generation Comp. Syst., 63:96–99, 2016.

Identyfikatory

DOI

10.1515/fcds-2016-0008