Funder
Spanish Ministry of Economy and Competitiveness
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Reference29 articles.
1. Arun, R., Suresh, V., Madhavan, C. E. V., & Murthy, M. N. N. (2010). On finding the natural number of topics with latent Dirichlet allocation some observations. In Zaki (Ed.), Advances in knowledge discovery and data mining (pp. 391–402). Berlin: Springer.
2. Cao, J., Xia, T., Li, J., Zhang, Y., & Tang, S. (2009). A density-based method for adaptive LDA model selection. Neurocomputing, 72(7), 1775–1781.
3. Cocchia, A. (2014). Smart and digital city: A systematic literature review. In R. P. Dameri & C. Rosenthal-Sabroux (Eds.), Smart city: How to create public and economic value with high technology in urban space (pp. 13–44). Berlin: Springer.
https://doi.org/10.1007/978-3-319-06160-3_2
.
4. Csárdi, G., & Torvalds, L. (2017). parsedate: Recognize and parse dates in various formats, including all ISO 8601 formats.
https://CRAN.R-project.org/package=parsedate
. Accessed 17 November 2017.
5. Deveaud, R., SanJuan, É., & Bellot, P. (2014). Accurate and effective latent concept modelling for ad hoc information retrieval. Document Numérique, 17(1), 61–84.
Cited by
46 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