Call for Summer Course: Data Mining on Air Pollution Modelling as Impacts of Forest Fires (MAPFire)
Organized by Faculty of Mathematics and Natural Sciences and Faculty of Forestry, Bogor Agricultural University
Course Description
Forest and land fires in Indonesia produced haze that spread to neighboring countries causing “transboundary haze pollution”. Haze caused decreasing in visibility that disrupts people as well as public health disturbances. Studies on air pollution modelling and haze dispersion have been conducted in order to identify area extent affected by haze. Data mining as a growing research area has been successfully applied in extracting interesting and important patterns from large datasets. This course gives you the recent development in pollution modeling as well as recent developments on forest and land fire prevention and mitigation efforts in Indonesia. This course provides an introduction to data mining, basic techniques in data mining, haze and pollutant datasets, and application of data mining techniques in analyzing and pollutant datasets. This course is suitable for students and your lecturers who study or conduct research on computer science, forest and land fires or related fields of study. On completing this course, students will understand and explain technology developments and data mining methods in pollution modeling as the impact of forest and land fires as well as recent developments on forest and land fire prevention and mitigation efforts in Indonesia.
