文章基本信息

标题：Prediction of Missing Values in Blood Cancer & Occurrence of Cancer Using Improved Id3 Algorithm
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作者：Priyadharsini.C ; Dr. Antony Selvadoss Thanamani
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：8
出版社：S&S Publications
摘要：Missing data can be recreant because it is complicated to identify the problem. Missing data can cause critical problems . First, most statistical procedures automatically eliminate cases with missing data. . Second, the analysis might run but the results may not be statistically signi ficant because of the small amount of input data . In this paper we inspect the enforcement of two unusual data imputation proces s in a task where the aim is to conclude the probability of finding missing data in b lood cancer and occurrence of blood cancer using improved ID3 algorithm. Cancer is one of the deadliest diseases found among many people across the world. Our project aims at helping the medical practitioners to diagnose the patients at the early stage which can reduce the number of deaths.
关键词：Data mining; missing values; ID3 Algorithm; data migration; decision tree classification; multi array;model; data density clustering