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Text Data Mining: Discovery of Important Keywords in the Cyberspace (2001)
| Venue: | In Proc. IEEE Kyoto ICDL |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Arimura01textdata,
author = {Hiroki Arimura and Junichiro Abe and Ryoichi Fujino and Hiroshi Sakamoto},
title = {Text Data Mining: Discovery of Important Keywords in the Cyberspace},
booktitle = {In Proc. IEEE Kyoto ICDL},
year = {2001}
}
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Abstract
This paper describes applications of the optimized pattern discovery framework to text and Web mining. In particular, we introduce a class of simple combinatorial patterns over phrases, called proximity phrase association patterns, and consider the problem of finding the patterns that optimize a given statistical measure within the whole class of patterns in a large collection of unstructured texts. For this class of patterns, we develop fast and robust text mining algorithms based on techniques in computational geometry and string matching. Finally, we successfully apply the developed text mining algorithms to the experiments on interactive document browsing in a large text database and keyword discovery from Web bases. 1. Introduction The rapid progress of computer and network technologies makes it easy to collect and store a large amount of unstructured or semi-structured texts such as webpages, HTML/XML archives, E-mails, and text files. These text data can be thought of large sc...
Keyphrases
text data mining important keywords proximity phrase association pattern computational geometry interactive document browsing unstructured text statistical measure html xml large sc network technology large text database rapid progress web base simple combinatorial pattern robust text mining algorithm text file optimized pattern discovery framework large collection whole class semi-structured text web mining large amount string matching developed text mining algorithm
