Coping With Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach

A comparison of three closest fit approa

A comparison of three closest fit approaches to missing attribute values in preterm birth data

✍ Jerzy W. Grzymala-Busse; Witold J. Grzymala-Busse; Linda K. Goodwin 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 71 KB

One of the main problems of data mining is imperfection of input data. Such data may be uncertain, vague, and incomplete. In our data set, describing preterm birth, many attribute values were missing, that is, the input data set was incomplete. The main approach to solving the missing attribute valu