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Ho-Quang, T., Chaudron, M. R., Hebig, R., & Robles, G. (2020). Challenges and Directions for a Community Infrastructure for Big Data-Driven Research in Software Architecture. In Model Management and Analytics for Large Scale Systems (pp. 13-35). Cambridge, MA: Academic Press.
https://doi.org/10.1016/B978-0-12-816649-9.00010-7

has been cited by the following article:

• TITLE: Research on Data Analysis of Chinese Public Accounting Firms in the Big Data Era

  AUTHORS: Meng Kang, Fuangfa Ampornstira

  KEYWORDS: Big Data Audit, Data Analysis, Public Accounting Firms

  JOURNAL NAME: Open Journal of Accounting, Vol.10 No.1, December 28, 2020

  ABSTRACT: The rapid development of computer and Internet technology has brought human society into the era of information technology, and it has a profound impact on human’s past work, production, management and consumption methods (AICPA, 2014). Even the social economic structure has changed in this general environment. With the rapid development of information technology, tradition has been unable to meet current needs. By combining the concept of big data and the characteristics of audit work in the era of big data, this article explores the effective countermeasures for optimizing the data analysis in the era of big data (Richins et al., 2017).