CrossRef Text and Data Mining Services
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...
متن کاملDesigning a System for Trend Analysis of Users in Website Surfing in Iran Using Data Mining and Text Mining Algorithms
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...
متن کاملUntangling Text Data Mining
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...
متن کاملText Data Mining
Classiication is one of the central issues in any system dealing with text data. The need for eeective approaches is dramatically increased nowadays due to the advent of massive digital libraries containing free-form documents. What we are looking for are powerful methods for the exploration of such libraries whereby the discovery of similarities between groups of text documents is the overall ...
متن کاملData Mining on Text
Data mining technology is giving us the ability to extract meaningful patterns from large quantities of structured data. Information retrieval systems have made large quantities of textual data available. Extracting meaningful patterns from this data is difficult. Current tools for mining structured data are inappropriate for free text. We outline problems involved in Knowledge Discovery in Tex...
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ژورنال
عنوان ژورنال: Insights the UKSG journal
سال: 2015
ISSN: 2048-7754
DOI: 10.1629/uksg.233