A New Classification Approach Based on Multiple Classification Rules
المؤلف
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-06-15
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier.
Hence, classification techniques are much useful in ubiquitous computing.
Associative classification achieves higher classification accuracy than some traditional rule-based classification approaches.
However, the approach also has two major deficiencies.
First, it generates a very large number of association classification rules, especially when the minimum support is set to be low.
It is difficult to select a high quality rule set for classification.
Second, the accuracy of associative classification depends on the setting of the minimum support and the minimum confidence.
In comparison with associative classification, some improved traditional rule-based classification approaches often produce a classification rule set that plays an important role in prediction.
Thus, some improved traditional rule-based classification approaches not only achieve better efficiency than associative classification but also get higher accuracy.
In this paper, we put forward a new classification approach called CMR (classification based on multiple classification rules).
CMR combines the advantages of both associative classification and rule-based classification.
Our experimental results show that CMR gets higher accuracy than some traditional rule-based classification methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Zhongmei. 2014. A New Classification Approach Based on Multiple Classification Rules. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-500562
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Zhongmei. A New Classification Approach Based on Multiple Classification Rules. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-500562
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Zhongmei. A New Classification Approach Based on Multiple Classification Rules. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-500562
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-500562
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر