Improving Classification Accuracy of Decision Trees for Different Abstraction Levels of Data

International Journal of Data Warehousing and Mining (IJDWM)

Volumn 1, Issue 3, 2005, Pages 1-14

  Jeong, Mina ^a   Lee, Doheon ^b  

^a Mokpo National University   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

abstraction levels; classification; data mining; data quality; decision tree

Indexed keywords

EID: 85001720398     PISSN: 15483924     EISSN: 15483932     Source Type: Journal    
DOI: 10.4018/jdwm.2005070101     Document Type: Article

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