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：2018
卷号：6
期号：4
页码：3412-3422
DOI：10.15680/IJIRCCE.2018.0604037
出版社：S&S Publications
摘要：Large numbers of documents are grouped according to their similarities. The Text Mining methods have
been proposed to solve the problem by automatically classifying text documents. An ontology based text mining
approach is to cluster the documents based on their similarities. For ontology making in text based medical documents.
This paper focuses on an annotation scheme that combines the semantic similarity measures and indexing in the
document. Text mining classification algorithms and Computational methods we can provide the awareness of patients
and quality of healthcare by having, problem solving and decision-making systems. Tumor based Information systems
can help in supporting clinical care in addition to helping Stages of Tumor Grades. The approach can be seen as
evolution of the keyword indices are replaced by ontology knowledge representative and a Pre-automatic document
annotation weighting procedure that improves the retrieval process. Evaluation results show that the proposed
approach can easily outperform the traditional approach.
关键词：Text Mining; Ontology; similarity; indexing; and Classification;
