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A taxonomy-based classification model by using abstraction and aggregation
Alice Tang; Simon Fong
2010-12-01
Conference Name2010 6th International Conference on Advanced Information Management and Service (IMS)
Source PublicationProc. - 6th Intl. Conference on Advanced Information Management and Service, IMS2010, with ICMIA2010 - 2nd International Conference on Data Mining and Intelligent Information Technology Applications
Pages448-454
Conference Date30 Nov.-2 Dec. 2010
Conference PlaceSeoul, South Korea
Abstract

Data preprocessing is an important data manipulation process prior to mining actions. Various techniques that include feature selection and data transformation have been studied in the past, with the aim of producing a compact and efficient decision tree. They all have their respective strengths, but in general they commonly lack of preserving the meanings of the attributes. The concept of Attribute Value Taxonomies (AVT) that is a value set of a particular attribute which is specified at different levels of precision and can be represented as a tree-structure was originally proposed by Honavar in year 2003. AVT has the advantages of naturally and easily understanding the attributes in a hierarchy of resolutions. In this paper, we extend the concept of AVT into the domain of data preprocessing for building decision trees based on attributes that are abstracted in different levels. The result is a series of decision trees with each specifically built pertaining to an abstract level of concept. A visualization tool is also programmed that shows both the significances of the attributes and the predictive powers in each tree. A live dataset of e-Bay transactions was used as a case study. The experimental results indicate that by applying appropriate abstraction and aggregation techniques, the decision tree can be made simpler, and accuracy can be improved. The resultant trees can be mapped across to AVT for easy interpretation by human.

KeywordAttribute Value Taxonomies Data Mining Decision Tree Feature Selection Preprocessing Visual Mining
URLView the original
Language英语
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Document TypeConference paper
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationFaculty of Science and Technology, University of Macau, China
First Author AffilicationFaculty of Science and Technology
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Alice Tang,Simon Fong. A taxonomy-based classification model by using abstraction and aggregation[C],2010:448-454.
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