期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2016
卷号：7
期号：1
页码：1-6
出版社：Engg Journals Publications
摘要：Breastfeeding is one of the critical issues in Ethiopia because researches show that 24.0% - 27.0% of infantdeath in Ethiopia is due to poor breastfeeding practices. UNICEF has been reported that a good promotion ofbreastfeeding practices is a most important strategic plan to reduce child mortality in developed and developingcountries. Hence, it is important to identifying the determinate factors of poor breastfeeding practice, especiallypoor countries like Ethiopia. Poor Breastfeeding is a reasonable well-defined problem caused by many factorsthat are related to motherhood, environment, community and child. Therefore, it is very important to predict thedeterminate factors of poor breastfeeding practice in various communities in the country in order to come upwith feasible intervention strategies to minimize the problem. This research intends to provide a survey ofcurrent techniques of knowledge discovery in large databases using data mining techniques which will be usefulfor medical practitioner to improve the breast feeding practices. The assessment was carried out with crossvalidation and percentage split of different data mining algorithms such as decision tree, Naive Bayes , ArtificialNeural Network and Bagging.
关键词：Datamining; J48; Bagging; Artificial Neural Network; Naive Bayes; Breast Feeding.
