Author:
Appice Annalisa,Ceci Michelangelo,Malerba Donato
Publisher
Springer International Publishing
Reference88 articles.
1. P. Angin, J. Neville, A shrinkage approach for modeling non-stationary relational autocorrelation, in Proceedings of 8th IEEE International Conference on Data Mining (IEEE Computer Society, 2008), pp. 707–712
2. D. Anguelov, B. Taskar, V. Chatalbashev, D. Koller, D. Gupta, G. Heitz, A.Y. Ng, Discriminative learning of markov random fields for segmentation of 3d scan data, in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 20–26 June 2005, San Diego, CA, USA (IEEE Computer Society, 2005), pp. 169–176
3. L. Anselin, Spatial Econometrics: Methods and Models (Kluwer, Dordrecht, 1988)
4. A. Appice, Towards mining the organizational structure of a dynamic event scenario. J. Intell. Inf. Syst. 1–29 (2017)
5. A. Appice, D. Malerba, Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering. Data Min. Knowl. Discov. 28(5–6), 1266–1313 (2014)
Cited by
3 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