@inproceedings{a458459817c948baac32cd4a753fc447,
title = "Scalable construction of topic directory with nonparametric closed termset mining",
abstract = "A topic directory, e.g., Yahoo directory, provides a view of a document set at different levels of abstraction and is ideal for the interactive exploration and visualization of the document set. We present a method that dynamically generates a topic directory from a document set using a frequent closed termset mining algorithm. Our method shows experimental results of equal quality to recent document clustering methods and has additional benefits such as automatic generation of topic labels and determination of a clustering parameter.",
keywords = "Document clustering, Hierarchical clustering, Topic directory",
author = "Hwanjo Yu and Duane Searsmith and Xiaolei Li and Jiawei Han",
year = "2004",
language = "English (US)",
isbn = "0769521428",
series = "Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004",
pages = "563--566",
editor = "R. Rastogi and K. Morik and M. Bramer and X. Wu",
booktitle = "Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004",
note = "Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004 ; Conference date: 01-11-2004 Through 04-11-2004",
}