SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Rodolfo Mendes(rodolfomendes@mestrado.ufu.br)
2 Humberto Razente(humberto.razente@ufu.br)
3 Maria Camila Barioni(camila.barioni@ufu.br)
4 Luciana Romani(luciana.romani@embrapa.br)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Bones, C., Romani, L., and Sousa, E. (2016). Improving multivariate data streams clustering. Procedia Computer Science, 80:461 – 471.
2 Davies, D. L. and Bouldin, D. W. (1979). A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell., 1(2):224–227.
3 Dias, T. L., Câmara, G., and A. Davis Jr., C. (2005). Bancos de Dados Geográficos, capítulo Modelos espaço-temporais, páginas 137–169. MundoGEO.
4 Ding, R., Wang, Q., Dang, Y., Fu, Q., Zhang, H., and Zhang, D. (2015). YADING: Fast Clustering of Large-Scale Time Series Data. VLDB Endowment, 8(5):473–484.
5 Dunn, J. C. (1973). A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters. J. Cybern., (3):32–57.
6 García, S., Luengo, J., and Herrera, F. (2015). Data Preprocessing in Data Mining, capítulo Data Reduction, páginas 147–162. Springer.
7 Guha, S., Rastogi, R., and Shim, K. (1998). Cure: an efficient clustering algorithm for large databases. In ACM SIGMOD Record, volume 27, páginas 73–84. ACM.
8 Han, J., Kamber, M., and Pei, J. (2011). Data Mining: Concepts and Techniques. Morgan Kaufmann.
9 Jain, A. K. (2010). Data clustering: 50 years beyond k-means. Pattern Recogn. Lett., 31(8):651–666.
10 Kaufman, L. and Rousseeuw, P. J. (1990). Finding Groups in Data: An Introduction to Cluster Analysis. Wiley Series in Probability and Statistics. Wiley.
11 Meek, C., Thiesson, B., and Heckerman, D. (2002). The learning-curve sampling method applied to model-based clustering. Journal of Machine Learning Research, 2:397–418.
12 Ng, R. T. and Han, J. (2002). Clarans: A method for clustering objects for spatial data mining. IEEE Trans. Knowl. Data Eng. (TKDE), 14(5):1003–1016.
13 Zhang, T., Ramakrishnan, R., and Livny, M. (1997). Birch: A new data clustering algorithm and its applications. Data Mining and Knowledge Discovery, 1(2):141–182.