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    STUDIA INFORMATICA - Issue no. 2 / 2015  
         
  Article:   SEX IDENTIFICATION IN ARCHAEOLOGICAL REMAINS USING DECISION TREE LEARNING.

Authors:  GABRIELA CZIBULA.
 
       
         
  Abstract:   We are approaching in this paper, from a machine learning perspective, the problem of detecting the gender of human skeletal remains from bone measurements. The problem of sex identi cation of human remains is of major importance for bioarchaeologists, since it provides information regarding the characteristics of past societies. For predicting the gender of human skeletons, an inductive learning method based o ndecision trees will be used. Computational experiments are performed on publicly available archaeological data sets. The obtained results emphasize the effectiveness of the proposed approach with respect to the similar approaches existing in the literature.

2010 Mathematics Subject Classi fication. 68T05,68T10.
Key words and phrases. bioarchaeology, machine learning, decision tree learning.
 
         
     
         
         
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