Total Environment for Text Data Mining
نویسندگان
چکیده
منابع مشابه
Mining Text Data Mining Text Data
Clustering is a widely studied data mining problem in the text domains. The problem finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In this chapter, we will provide a detailed survey of the problem of text clustering. We will study the key challenges of the clustering problem, as it applies to the...
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Background and Aim: As of the entrance of web surfing to the lifestyle of a vast majority of people in the society and the need for a more accurate social and cultural policy making in the field, authors intended to analyze the behavior of the society users in viewing different websites so as to help politicians and practitioners. Methods: Design science research method is used in this research...
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Text Mining is around applying knowledge discovery techniques to unstructured text is termed knowledge discovery in text (KDT), or Text data mining or Text Mining. In decision tree approach is most useful in classification problem. With this technique, tree is constructed to model the classification process. There are two basic steps in the technique: building the tree and applying the tree to ...
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The possibilities for data mining from large text collections are virtually untapped. Text expresses a vast, rich range of information, but encodes this information in a form that is difficult to decipher automatically. Perhaps for this reason, there has been little work in text data mining to date, and most people who have talked about it have either conflated it with information access or hav...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2011
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.26.483