AVD - A NEW CLASSIFICATION ALGORITHM

摘要：

This paper proposes a new classification algorithm named the Attribute Value Dependant classifier (AVD). This AVD classifier mainly focuses on identifying the relationship between the attribute values in the training dataset and the class label values.The Attribute Value Dependant is the value which determines the extent to which each attribute value has its impact in deciding the class label is identified; and the training model is built based on these values.The attribute values in the test dataset are compared against the Attribute Value Dependant values and based on this comparison the test dataset is classified.Since individual attribute value dependency on the class label is found, the irrelevant and inconsistent data in the training dataset are ignored during the classification and consequently the classification accuracy is improved.The performance of the AVD classifier has been compared with seven traditional classifiers and has been proved to produce better results.

关键词： Data Mining Attribute Value Dependancy Classification Influence factor

作者: PRAMALA.S RAJALAKSHMI.B APPAVU BALAMURUGAN

作者单位: Deloitte Support Services,Alumni of Thiagarajar College of Engineering TCS,Alumni of Thiagarajar college of Engineering Thiagarajar college of Engineering

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 425-432

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）