Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia
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 Hil...
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| Format: | Conference or Workshop Item |
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IEEE
2010
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| _version_ | 1825944565081702400 |
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| author | Imas, Sukaesih Sitanggang Ismail, Mohd Hasmadi |
| author_facet | Imas, Sukaesih Sitanggang Ismail, Mohd Hasmadi |
| author_sort | Imas, Sukaesih Sitanggang |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T07:17:52Z |
| format | Conference or Workshop Item |
| id | upm.eprints-9326 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T07:17:52Z |
| publishDate | 2010 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-93262016-02-03T07:29:06Z http://psasir.upm.edu.my/id/eprint/9326/ Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia Imas, Sukaesih Sitanggang Ismail, Mohd Hasmadi 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. IEEE 2010 Conference or Workshop Item NonPeerReviewed Imas, Sukaesih Sitanggang and Ismail, Mohd Hasmadi (2010) Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia. In: 8th International Conference on ICT and Knowledge Engineering, 24-25 Nov. 2010, Bangkok, Thailand. (pp. 46-50). 10.1109/ICTKE.2010.5692912 |
| spellingShingle | Imas, Sukaesih Sitanggang Ismail, Mohd Hasmadi Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia |
| title | Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia |
| title_full | Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia |
| title_fullStr | Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia |
| title_full_unstemmed | Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia |
| title_short | Hotspot occurences classififcation using decision tree method: case study in the Rokan Hilir, Riau Province, Indonesia |
| title_sort | hotspot occurences classififcation using decision tree method case study in the rokan hilir riau province indonesia |
| work_keys_str_mv | AT imassukaesihsitanggang hotspotoccurencesclassififcationusingdecisiontreemethodcasestudyintherokanhilirriauprovinceindonesia AT ismailmohdhasmadi hotspotoccurencesclassififcationusingdecisiontreemethodcasestudyintherokanhilirriauprovinceindonesia |