期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：7
页码：14962
DOI：10.15680/IJIRSET.2017.0607356
出版社：S&S Publications
摘要：Data classification is necessity of today’s world as large amount of information available to us intoday’s digital world and it increases continuously. This information would be useless and not relevant if we are notable to efficiently access did not increase as well. For maximum benefit, we need tools that allow search, sort, index,store and analyze the available data. One of the promising area is the automatic text classification. Imagine we haveconsiderable number of texts, which are more easily accessible if they are put into different categories according totheir contents. Of course one could ask human to read the text and classify them manually. This tasks is hard if done onhundreds, even thousands of texts. So, it seems necessary to have an automated application, we present automated textcategorization using machine learning approach.An increasing number of data mining tasks includes the analysis of complex and structured types of data and makeuse of expressive pattern languages. Most from these applications can't be solved using traditional data miningalgorithms. This is the cause of main motivation for the multi-disciplinary field of Multi-Relational Data Mining(MRDM).
关键词：Text categorization; Machine learning; Multi-Relational Data Mining
