Clustering and Information Retrieval 2003
Weili Wu, Hui Xiong, Shashi Shekhar (Eds.):
Clustering and Information Retrieval.
Kluwer 2003, ISBN 1-4020-7682-7 
- Ricardo A. Baeza-Yates, Benjamin Bustos, Edgar Chávez, Norma Herrera, Gonzalo Navarro:
Clustering in Metric Spaces with Applications to Information Retrieval.
1-34
- Sudipto Guha, Rajeev Rastogi, Kyuseok Shim:
Techniques for Clustering Massive Data Sets.
35-82
- Levent Ertöz, Michael Steinbach, Vipin Kumar:
Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach.
83-104
- Ji He, Ah-Hwee Tan, Chew Lim Tan, Sam Yuan Sung:
On Quantitative Evaluation of Clustering Systems.
105-134
- Wesley W. Chu, Zhenyu Liu, Wenlei Mao:
Techniques for Textual Document Indexing and Retrieval Knowledge Sources and Data Mining.
135-160
- Steven Noel, Vijay V. Raghavan, Chee-Hung Henry Chu:
Document Clustering, Visualization, and Retrieval Link Mining.
161-194
- Ji-Rong Wen, HongJiang Zhang:
Query Clustering in the Web Context.
195-226
- Sam Yuan Sung, Zhao Li, Tok Wang Ling:
Clustering Techniques for Large Database Cleansing.
227-260
- Daniel J. Crichton, J. Steven Hughes, Sean C. Kelly:
A Science Data System Architecture for Information Retrieval.
261-298
- Yiyu Yao:
Granular Computing for the Design of Information Retrieval Support Systems.
299-
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