Contextual Outlier Detection on Hotspot Data in Riau Province using k-means Algorithm

Author:

Thah Pha Hy,Sitanggang Imas Sukaesih

Publisher

Elsevier BV

Subject

General Medicine

Reference10 articles.

1. Sizer N, Anderson J, Stolle F, Minnemeyer S, Higgins M, Leach A, Alisjahbana A, Utami A. Fires in Indonesia spike to highest levels since June 2013 haze emergency; 2014 [cited 2015 June 18]; Available from: http://www.wri.org/blog/2014/03/fires-indonesia-spike-highest-levels-june-2013-haze-emergency.

2. Sitanggang IS, Baehaki DAM. Global and collective outliers detection on hotspot data as forest fires indicator in Riau province, Indonesia. IEEE; 2015.

3. Discovering contexts and contextual outliers using random walks in graphs;Wang;ICDM,2009

4. Anomaly detection: a survey;Chandola;ACM Computing Surveys,2009

5. Han J, Kamber M, Pei J. Data mining concepts and techniques. Massachusetts (US): Morgan Kaufman; 2012.

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