Behavioural features for mushroom classification
Mushrooms have high benefits in the human body. However, not all mushrooms are edible. While some have medical properties to cure cancer, some other types of mushrooms may contain viruses that carry infectious diseases. This paper is set to study mushroom behavioural features such...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE Xplore
2018
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| Online Access: | http://eprints.uthm.edu.my/6064/ http://eprints.uthm.edu.my/6064/1/AJ%202018%20%281016%29%20Behavioural%20features%20for%20mushroom%20classification.pdf |
| _version_ | 1848888703579062272 |
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| author | Ismail, Shuhaida Zainal, Amy Rosshaida Mustapha, Aida |
| author_facet | Ismail, Shuhaida Zainal, Amy Rosshaida Mustapha, Aida |
| author_sort | Ismail, Shuhaida |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Mushrooms have high benefits in the human body. However, not all mushrooms are edible. While some have medical properties to cure cancer, some other types of mushrooms may contain viruses that carry infectious diseases. This paper is set to study mushroom behavioural features such as the shape, surface and colour of the cap, gill and stalk, as well as the odour, population and habitat of the mushrooms. The Principal Component Analysis (PCA) algorithm is used for selecting the best features for the classification experiment using Decision Tree (DT) algorithm. The classification accuracy, coefficient metric, and time taken to build a classification model on a standard Mushroom dataset were measured. The behavioural feature of ‘odour’ was selected as the highest ranked feature that contribute to the high classification accuracy. |
| first_indexed | 2025-11-15T20:14:30Z |
| format | Article |
| id | uthm-6064 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:14:30Z |
| publishDate | 2018 |
| publisher | IEEE Xplore |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-60642022-01-26T04:26:59Z http://eprints.uthm.edu.my/6064/ Behavioural features for mushroom classification Ismail, Shuhaida Zainal, Amy Rosshaida Mustapha, Aida TA329-348 Engineering mathematics. Engineering analysis Mushrooms have high benefits in the human body. However, not all mushrooms are edible. While some have medical properties to cure cancer, some other types of mushrooms may contain viruses that carry infectious diseases. This paper is set to study mushroom behavioural features such as the shape, surface and colour of the cap, gill and stalk, as well as the odour, population and habitat of the mushrooms. The Principal Component Analysis (PCA) algorithm is used for selecting the best features for the classification experiment using Decision Tree (DT) algorithm. The classification accuracy, coefficient metric, and time taken to build a classification model on a standard Mushroom dataset were measured. The behavioural feature of ‘odour’ was selected as the highest ranked feature that contribute to the high classification accuracy. IEEE Xplore 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/6064/1/AJ%202018%20%281016%29%20Behavioural%20features%20for%20mushroom%20classification.pdf Ismail, Shuhaida and Zainal, Amy Rosshaida and Mustapha, Aida (2018) Behavioural features for mushroom classification. IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE). pp. 412-415. ISSN 9781538635278 |
| spellingShingle | TA329-348 Engineering mathematics. Engineering analysis Ismail, Shuhaida Zainal, Amy Rosshaida Mustapha, Aida Behavioural features for mushroom classification |
| title | Behavioural features for mushroom classification |
| title_full | Behavioural features for mushroom classification |
| title_fullStr | Behavioural features for mushroom classification |
| title_full_unstemmed | Behavioural features for mushroom classification |
| title_short | Behavioural features for mushroom classification |
| title_sort | behavioural features for mushroom classification |
| topic | TA329-348 Engineering mathematics. Engineering analysis |
| url | http://eprints.uthm.edu.my/6064/ http://eprints.uthm.edu.my/6064/1/AJ%202018%20%281016%29%20Behavioural%20features%20for%20mushroom%20classification.pdf |