Big data challenge: a data management perspective
By Jinchuan Chen, Yueguo Chen, Xiaoyong Du, Cuiping Li, Jiaheng Lu, Suyun Zhao, Xuan Zhou. Frontiers of Computer Science, 2013
328 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/50f1415d55e99276d21966771a09ac8d13ee78da
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Yong Xiang
- Jyoti Prakash Singh
- Saurabh Kumar Garg
- R. Ranjan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Prem Prakash Jayaraman
- D. Georgakopoulos
In Information Systems
- Saurabh Kumar Garg
- R. Ranjan
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Prem Prakash Jayaraman
- D. Georgakopoulos
- Kai Liu
- Md. Zakirul Alam Bhuiyan
In Management Science and Operations Research
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- R. Ranjan
- Vishanth Weerakkody
- Zahir Irani
- Muhammad Mustafa Kamal
- Uthayasankar Sivarajah
- Casey G. Cegielski
Citations in the corpus
- Predicting the “helpfulness” of online consumer reviews (2017, background): “Such a large volume of data constantly being generated can be considered as a big data challenge (Chen et al., 2013) for both online businesses and consumers.”
- Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, background): “Every organization is now prioritizing the analysis of collected data to extract useful insights in order to make important decisions [2].”
- Critical analysis of Big Data challenges and analytical methods (2017, background): “Appropriate data processing and management could expose new knowledge, and facilitate in responding to emerging opportunities and challenges in a timely manner (Chen et al., 2013).”
- A Survey on Deep Learning in Big Data (2017, background): “With respect to the amounts of data generating each day, we can predict the growth rate of data in next years [2].”
- Understanding the Factors Affecting the Organizational Adoption of Big Data (2018, background): “It can create business value through its unique analytics, predictive, and decision support capabilities, which allow it to deal with data that could not otherwise be processed using traditional approaches [6, 13].”
- Big Data and cloud computing: innovation opportunities and challenges (2017, methodology): “Data integration is critical for achieving the 5th V (value) of Big Data through integrative data analysis and cross-domain collaborations (Chen et al. 2013; Christen 2014).”