Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment
Also available in printed version : QA76.9.D3 Z345 2012 raf
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| 其他作者: | |
| 格式: | Master's thesis |
| 語言: | 英语 |
| 出版: |
Universiti Teknologi Malaysia
2025
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| 主題: | |
| 在線閱讀: | https://utmik.utm.my/handle/123456789/106221 |
| Abstract | Abstract here |
| _version_ | 1854934105696763904 |
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| author | Zahra Nematzadehbalagatabi |
| author2 | Roliana Ibrahim, supervisor |
| author_facet | Roliana Ibrahim, supervisor Zahra Nematzadehbalagatabi |
| author_sort | Zahra Nematzadehbalagatabi |
| description | Also available in printed version : QA76.9.D3 Z345 2012 raf |
| format | Master's thesis |
| id | utm-123456789-106221 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-1062212025-08-20T23:13:54Z Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment Zahra Nematzadehbalagatabi Roliana Ibrahim, supervisor Database management Cognitive styles Also available in printed version : QA76.9.D3 Z345 2012 raf According to different needs of users in internet environments such as Digital Libraries,information services are prepared for them. For this propose, personalized digital libraries providing a way for different users to express their preferences clearly. Users will be confronting with a problem by using this approach. The problem is that users may not attention to their preferences and cannot have an acceptable research. To address these problems, this thesis investigates an approach that gains user preferences based on cognitive style and recognizes relevant characteristics for information seeking and also do classification to classify the researchers.More specifically, this thesis aim to study cognitive style can identify user preferences and explain how the classification can be perform in order to classify researcher to the “Expert” and “Novice”.The results show that there are relationships between cognitive styles and user’sseeking. In addition, there are links between the levels of experience and user searching. It means that, cognitive style has been considered as the main relevant element for user profiling. Moreover,based on cognitive style and the best classification algorithm among three methods of Naïve Bayes, Decision tree and SVMusers can be classified to groups to have a pleasure researchwill increase the degree of satisfaction and high accuracy will achieve. atiff UTM 111 p. Thesis (Sarjana Sains (Sains Komputer)) - Universiti Teknologi Malaysia, 2012 2025-04-15T01:17:06Z 2025-04-15T01:17:06Z 2012-07 Master's thesis https://utmik.utm.my/handle/123456789/106221 valet-20140105-085537 vital:70400 ENG Restricted Closed Access UTM Complete Submitted Submission application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Database management Cognitive styles Zahra Nematzadehbalagatabi Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment |
| thesis_level |
Master
|
| title | Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment |
| title_full | Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment |
| title_fullStr | Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment |
| title_full_unstemmed | Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment |
| title_short | Comparison of decision tree, naive bayes and svm in classification of researcher's cognitive styles in academic environment |
| title_sort | comparison of decision tree naive bayes and svm in classification of researcher s cognitive styles in academic environment |
| topic | Database management Cognitive styles |
| url | https://utmik.utm.my/handle/123456789/106221 |
| work_keys_str_mv | AT zahranematzadehbalagatabi comparisonofdecisiontreenaivebayesandsvminclassificationofresearcherscognitivestylesinacademicenvironment |