Academic Journal
Mammography Classification by an Association Rule-based Classifier
العنوان: | Mammography Classification by an Association Rule-based Classifier |
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المؤلفون: | Osmar R. Zaiane, Maria-Luiza Antonie, Alexandru Coman |
المساهمون: | The Pennsylvania State University CiteSeerX Archives |
المصدر: | http://www.cs.ualberta.ca/~zaiane/postscript/mdmkdd02.pdf. |
سنة النشر: | 2002 |
المجموعة: | CiteSeerX |
مصطلحات موضوعية: | KEY WORDS Mammography Mining, Image Classification, Document Categorization, Association Rules, Medical Images |
الوصف: | This paper proposes a new classification method based on association rule mining. This association rule-based classifier is experimented on a real dataset; a database of medical images. The system we propose consists of: a preprocessing phase, a phase for mining the resulted transactional database, and a final phase to organize the resulted association rules in a classification model. The experimental results show that the method performs well reaching over 80% in accuracy. Moreover, this paper illustrates, by comparison to other published research, how important the data cleaning phase is in building an accurate data mining architecture for image classification. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7267; http://www.cs.ualberta.ca/~zaiane/postscript/mdmkdd02.pdf |
الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7267 http://www.cs.ualberta.ca/~zaiane/postscript/mdmkdd02.pdf |
Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
رقم الانضمام: | edsbas.8E589705 |
قاعدة البيانات: | BASE |
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