Author:
Nidhi ,Mangat Veenu,Gupta Vishal,Vig Renu
Reference59 articles.
1. Zhang, B., Qin, S., Wang, W., Wang, D., & Xue, L. (2016). Data stream clustering based on fuzzy C-mean algorithm and entropy theory. Journal of Signal Processing, 126, 111–116.
2. Lifna, C., & Vijaylakshmi, M. (2015). Identifying concept drifts in Twitter streams. In International Conference on Advanced Computing Technologies and Applications (pp. 86–94).
3. Xhafa, F., Naranjo, V., Barolli, L., & Takizawa, M. (2015). On Streaming Consistency of Big Data Stream Processing in Heterogenous Clusters. In 18th IEEE International Conference on Network-Based Information Systems (pp. 476–482).
4. Schnitzler, K., Davies, N., Ross, F., & Harris, R. (2016). Using Twitter™ to drive research impact: A discussion of strategies, opportunities and challenges. International Journal of Nursing Studies, 59, 15–26.
5. Costa, J., Silva, C., Antunes, M., & Ribeiro, B. (2014). Concept Drift Awareness in Twitter Streams. In 13th IEEE International Conference on Machine Learning and Applications (pp. 294–299).
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献