Clustering and Information Retrieval

	Edited by
	Weili Wu  Hui Xiong Shashi Shekhar Kluwer Academic Publishers, 2003, ISBN: 1-4020-7682-7

Contents

Clustering in Metric Spaces with Applications to Information Retrieval .................................................. 1

        Ricardo Baeza-Yates, Benjamin Bustos, Edgar Chavez, Norma Herrera, and Navarro

Technques for Clustering Massive Data Sets ............................................................................................35

        Sudipto Guha, Rajeev Rastogi, and Kyuseok Shim

Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach .............................83

        Levent Ertoz, Michael Steinbach, and Vipin Kumar

On Quantitative Evaluation of Clustering Systems ..................................................................................105

        Ji He, Ah-Hwee Tan, Chew-Lim Tan, and Sam Yuan Sung

Techniques for Textual Document Indexing and Retrieval via Knowledge Sources & Data Mining .. 135

        Wesley W. Chu, Victor Zhenyu Liu, and Wenlei Mao

Document Clustering, Visualization, and Retrieval via Link Mining ......................................................161

        Steven Noel, Vijay Raghavan, and C.-H. Henry Chu

Query Clustering in the Web Context ......................................................................................................195

        Ji-Rong Wen and Hong-Jiang Zhang

Clustering Techniques for Large Database Cleansing ............................................................................227

        Sam Y. Sung, Zhao Li, and Tok W. Ling

A Science Data System Architecture for Information Retrieval ............................................................261

        Daniel J. Crichton, J. Steven Hughes, and Sean Kelly

Granular Computing for the Design of Information Retrieval Support Systems...................................299

        Y. Y. Yao