CLUSTERING DAN DATA MINING PADA GEODATABASE KEBENCANAAN GERAKAN TANAH DI KABUPATEN SUMEDANG
Abstract
dengan upaya mitigasi bencana gerakan tanah. Hubungan relasional di antara obyek-obyek dalam geodatabase merupakan salah satu karakteristik penting yang harus diperhatikan dalam memilih metoda clustering untuk mendapatkan informasi yang benar.
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Borcard, D., Gillet, F., Legendre, P., 2011. Numerical Ecology with R. Springer Science and Bussiness. New York, USA.
Das, C.I., 2011. Spatial Statistical Modelling For Assessing Landslide Hazzard and Vulnerability. Dissertation. ITC, University Of Twente.
Marinette, P., Gancarski, P., Auefere, M.A., Boussaid, O., 2009. Database Technologies : Concept, Methodologies, Tools and Application, Chapter 1.5 Pattern Mining and Clustering on Image Databases. IGI Global. New York, USA.
Ng, R.T,, Han J., 1994. Efficient and Effective Clustering Methods for Spatial Data Mining. Proceedings of the 20th VLDB Conference. Santiago, Chile.
Tae-Wan, R., Christoph, F., Eick., 2005. A database clustering methodology and tool, Information SciencesInformatics and Computer Science: An International Journal, v.171 n.1-3, p.29-59.
Zhang, C., Huang, Y., 2007. Cluster By: A New SQL Extension for Spatial Data Aggregation. GIS '07 Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems. ACM. New York, USA.
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