IDENTIFYING TOPICS FOR WEB DOCUMENTS THROUGH FUZZY ASSOCIATION LEARNING
نویسندگان
چکیده
منابع مشابه
Identifying Topics for Web Documents through Fuzzy Association Learning
Due to the explosive growth of available information on the World Wide Web (WWW), users have su ered from the information overload. To alleviate this problem, there is a need for an intelligent tool to help the users screening and ltering for interesting and useful information. In this paper, a method of automatically identifying topics for Web documents via a classi cation technique is propose...
متن کاملIdentifying Corporate Managerial Topics with Web Pages
This paper has as its main aim to analyse how corporate web pages can become an essential tool in order to detect strategic trends by firms or sectors, and even a primary source for benchmarking. This technique has made it possible to identify the key issues in the strategic management of the most excellent large Spanish firms and also to describe trends in their long-range planning, a way of w...
متن کاملIdentifying Content Blocks from Web Documents
Intelligent information processing systems, such as digital libraries or search engines index web-pages according to their informative content. However, web-pages contain several non-informative contents, e.g., navigation sidebars, advertisements, copyright notices, etc. It is very important to separate the informative “primary content blocks” from these non-informative blocks. In this paper, t...
متن کاملMachine learning on Web documents
The Web is a tremendous source of information: so tremendous that it becomes difficult for human beings to select meaningful information without support. We discuss tools that help people deal with web information, by, for example, blocking advertisements, recommending interesting news, and automatically sorting and compiling documents. We adapt and create machine learning algorithms for use wi...
متن کاملMining web documents to find additional query terms using fuzzy association rules
In this paper, we present an application of association rules to query re#nement. Starting from an initial set of documents retrieved from the web, text transactions are constructed and association rules are extracted. A fuzzy extension of text transactions and association rules is employed, where the presence of the terms (items) in the documents (transactions) is determined with a value betwe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computational Intelligence and Applications
سال: 2002
ISSN: 1469-0268,1757-5885
DOI: 10.1142/s1469026802000609