文章基本信息

标题：A Survey: on Text Mining Unstructured Data Using D-Matrix
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作者：Sneha P. Mendhe ; K.N.Hande
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：2017
卷号：5
期号：1
页码：214
DOI：10.15680/IJIRCCE.2017.0501030
出版社：S&S Publications
摘要：Fault dependency (D-matrix) is used as a diagnostic model that identifies the fault system data and itscausal relationship at the hierarchical system-level. It consists of dependencies and relationship between identifiedfailure modes and symptoms related to a system. Constructing such D-matrix fault detection model is timeoverwhelming task .A system is proposed that describes associate ontology based text mining on unstructured datausing D-matrix for automatically constructing D-matrix by mining many repair verbatim text data (typically written inunstructured text) collected throughout the identification process. And also graphical model generation for eachgenerated D-matrix. Initially we construct fault diagnosis ontology and then text mining techniques are applied to spotdependencies among failure modes and identified symptom. D-matrix is represented in graph so analysis gets easierand faulty parts becomes simply detectable. The proposed methodology are implemented as a prototype tool andvalidated by using real-life information collected from the automobile domain.
关键词：Fault diagnosis; fault detection; information retrieval; dependency-matrix; text mining.