Abstract
Cloud computing platform, also known as cloud platform, refers to services based on hardware and software resources, providing computing, network and storage capabilities. Cloud computing platforms can be divided into three categories: storage cloud platforms based on data storage, computing cloud platforms based on data processing, and integrated cloud computing platforms based on both computing and data storage processing. With the rise of the network is changing all the traditional teaching methods and teaching idea; development of multimedia computer and network communication technology, provides an ideal cognitive tool for English learning environment, can effectively promote the learners to improve their English level. At the same time also contribute to the all-round development of students. This paper analyzes how to use the cyber source of teaching content, enrich the teaching methods, improve teaching effectiveness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Treur, J. 2016. Dynamic modeling based on a temporal–causal network modeling approach. Biologically Inspired Cognitive Architectures 16: 131–168.
Wang, L., J. Meng, and P. Xu. 2018. Mining temporal association rules with frequent itemsets tree. Applied Soft Computing 62: 817–829.
Mishra, D., S. Samantaray, and G. Joos. 2016. A combined wavelet and data-mining based intelligent protection scheme for microgrid. IEEE Trans Smart Grid 7 (5): 2295–2304.
Bhatt, U., and P. Patel. 2015. A novel approach for finding rare items based on multiple minimum support framework. Procedia Computer Science 57: 1088–1095.
Ji, Y., H. Ying, J. Tran, and P. Dews. 2013. A method for mining infrequent causal associations and its application in finding adverse drug reaction signal pairs. IEEE Transactions on Knowledge and Data Engineering 25 (4): 721–733.
Koh, H., and G. Tan. 2011. Data mining applications in healthcare. Journal of Healthcare Information Management 19 (2): 65–69.
Nahar J., T. Imam, and K. Tickle. 2013. Association rule mining to detect factors which contribute to heart disease in males and females. Expert Systems with Applications 40 (4): 1086–1093.
Thelwall, M., K. Buckley, and G. Paltoglou. 2012. Sentiment strength detection for the social web. Journal of the Association for Information Science and Technology 63: 163–173.
Yun, U., and G. Lee. 2016. Incremental mining of weighted maximal frequent itemsets from dynamic databases. Expert Systems with Applications 54: 304–327.
Sohail, S., and J. Siddiqui. 2016. Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique. Perspectives in Science 8: 754–756.
Savage, D., X. Zhang, and X. Yu. 2015. Detection of opinion spam based on anomalous rating deviation. Expert Systems with Applications 42: 8650–8657.
McIlroy, S., N. Ali, and H. Khalid. 2016. Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews. Empirical Software Engineering 21: 1067–1106.
Acknowledgements
This paper was supported by (1) The Special subject of Foreign language and Literature Teaching and Research in Colleges and Universities of Inner Mongolia Autonomous region “Research on the course system of English majors in Inner Mongolia Science and Engineering Universities from the Perspective of connotative Development” (Project Grant No.: WYZX2016-14); (2) An empirical study on the influence of metonymy thinking on critical thinking ability of English majors in Inner Mongolia Autonomous region (Project Grant No.: 2018NDB096); (3) The achievements of the key Teaching Reform Project of Inner Mongolia University of Technology “the Reform of English Curriculum system in Engineering Colleges under the New situation: taking Inner Mongolia University of Technology as an example” (Project Grant No.: 2015107).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, Z. (2020). Foreign Language Teaching and Intercultural Communicative Based on Network Environment and Cloud Computing Platform. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_211
Download citation
DOI: https://doi.org/10.1007/978-981-15-1468-5_211
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1467-8
Online ISBN: 978-981-15-1468-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)