A New Classification Approach Based on Multiple Classification Rules
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500562