Network Theory and Applications - Clustering and Information Retrieval
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Published By Springer US

9781461379492, 9781461302278

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Science Data System Architecture for Information Retrieval

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_9 ◽

2004 ◽

pp. 261-298 ◽

Cited By ~ 2

Author(s):

Daniel J. Crichton ◽

J. Steven Hughes ◽

Sean Kelly

Keyword(s):

Information Retrieval ◽

System Architecture ◽

Data System ◽

Science Data

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Clustering in Metric Spaces with Applications to Information Retrieval

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_1 ◽

2004 ◽

pp. 1-33

Author(s):

Ricardo Baeza-Yates ◽

Benjamín Bustos ◽

Edgar Chávez ◽

Norma Herrera ◽

Gonzalo Navarro

Keyword(s):

Information Retrieval ◽

Metric Spaces

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Document Clustering, Visualization, and Retrieval via Link Mining

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_6 ◽

2004 ◽

pp. 161-193 ◽

Cited By ~ 1

Author(s):

Steven Noel ◽

Vijay Raghavan ◽

C.-H. Henry Chu

Keyword(s):

Document Clustering

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

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_5 ◽

2004 ◽

pp. 135-159 ◽

Cited By ~ 2

Author(s):

Wesley W. Chu ◽

Victor Zhenyu Liu ◽

Wenlei Mao

Keyword(s):

Data Mining ◽

Knowledge Sources ◽

Document Indexing ◽

Indexing And Retrieval

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Granular Computing for the Design of Information Retrieval Support Systems

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_10 ◽

2004 ◽

pp. 299-329 ◽

Cited By ~ 7

Author(s):

Y. Y. Yao

Keyword(s):

Information Retrieval ◽

Granular Computing ◽

Support Systems

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On Quantitative Evaluation of Clustering Systems

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_4 ◽

2004 ◽

pp. 105-133 ◽

Cited By ~ 15

Author(s):

Ji He ◽

Ah-Hwee Tan ◽

Chew-Lim Tan ◽

Sam-Yuan Sung

Keyword(s):

Quantitative Evaluation

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Query Clustering in the Web Context

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_7 ◽

2004 ◽

pp. 195-225 ◽

Cited By ~ 2

Author(s):

Ji-Rong Wen ◽

Hong-Jiang Zhang

Keyword(s):

The Web

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

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_3 ◽

2004 ◽

pp. 83-103 ◽

Cited By ~ 22

Author(s):

Levent Ertöz ◽

Michael Steinbach ◽

Vipin Kumar

Keyword(s):

Nearest Neighbor ◽

Shared Nearest Neighbor

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Techniques for Clustering Massive Data Sets

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_2 ◽

2004 ◽

pp. 35-82

Author(s):

Sudipto Guha ◽

Rajeev Rastogi ◽

Kyuseok Shim

Keyword(s):

Massive Data ◽

Data Sets ◽

Massive Data Sets

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Clustering Techniques for Large Database Cleansing

Network Theory and Applications - Clustering and Information Retrieval ◽

10.1007/978-1-4613-0227-8_8 ◽

2004 ◽

pp. 227-259

Author(s):

Sam Y. Sung ◽

Zhao Li ◽

Tok W. Ling

Keyword(s):

Large Database ◽

Clustering Techniques

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Network Theory and Applications - Clustering and Information RetrievalLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer US

A Science Data System Architecture for Information Retrieval

Clustering in Metric Spaces with Applications to Information Retrieval

Document Clustering, Visualization, and Retrieval via Link Mining

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

Granular Computing for the Design of Information Retrieval Support Systems

On Quantitative Evaluation of Clustering Systems

Query Clustering in the Web Context

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

Techniques for Clustering Massive Data Sets

Clustering Techniques for Large Database Cleansing

Network Theory and Applications - Clustering and Information Retrieval
Latest Publications