Imas, Sukaesih Sitanggang and Ismail, Mohd Hasmadi (2010) Hotspot occurences classififcation using decision tree method : case study in the Rokan Hilir, Riau Province, Indonesia. 2010 8th International Conference on ICT and Knowledge Engineering . pp. 46-50. ISSN 2157-0981
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ICTKE.2010.5692912
Abstract
Application of geospatial and data mining techniques in forest fires research have resulted interesting and useful information in decision making related to the forest fires management. This paper presents a result of the study in applying the C4.5 algorithm on a forest fire dataset in the Rokan Hilir district, Riau Province, Indonesia. The dataset consists of hotspot occurrence locations, human activity factors, and land cover types. Human activity factors include city center locations, roads network and rivers network. The results were a decision tree which contains 18 leaves and 26 nodes with accuracy about 63.17%. Most of positive examples (the area with hotspot occurrences) and negative examples (no hotspot occurrences in the area) that are incorrectly classified by the model are located near rivers and roads.
| Item Type: | Article |
|---|---|
| Keyword: | C4.5 algorithm, hotspot occurrences, decision tree method |
| Subject: | Data mining |
| Subject: | Geospatial data |
| Subject: | Decision trees |
| Faculty or Institute: | Faculty of Forestry |
| Publisher: | IEEE |
| DOI Number: | 10.1109/ICTKE.2010.5692912 |
| ID Code: | 9326 |
| Deposited By: | Samsida Samsudin |
| Deposited On: | 24 Jan 2011 09:31 |
| Last Modified: | 24 Jan 2011 09:35 |
Repository Staff Only: item control page
Document Download Statistics
This item has been downloaded for since 24 Jan 2011 09:31.
