Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
In this investigation we propose a novel summarization method of Web pages using hierarchical expression. We discuss close relationship between summarization and hierarchical clust...
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Hierarchic document clustering has been widely applied to Information Retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search. However, pre...
Anastasios Tombros, Robert Villa, C. J. van Rijsbe...