| The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space |
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International Conference on Knowledge Discovery and Data Mining
archive
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
table of contents
Boston, Massachusetts, United States
Pages: 119 - 129
Year of Publication: 2000
ISBN:1-58113-233-6
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Downloads (6 Weeks): 10, Downloads (12 Months): 59, Citation Count: 8
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REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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C. C. Aggarwal, A. Hinneburg, D. A. Keim. On The Surprising Behavior of Distance Metrics in High Dimensional Space. IBM Research Report, RC 21739, 2000.
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Charu C. Aggarwal , Joel L. Wolf , Philip S. Yu, A new method for similarity indexing of market basket data, Proceedings of the 1999 ACM SIGMOD international conference on Management of data, p.407-418, May 31-June 03, 1999, Philadelphia, Pennsylvania, United States
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Norbert Beckmann , Hans-Peter Kriegel , Ralf Schneider , Bernhard Seeger, The R*-tree: an efficient and robust access method for points and rectangles, Proceedings of the 1990 ACM SIGMOD international conference on Management of data, p.322-331, May 23-26, 1990, Atlantic City, New Jersey, United States
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Kristin P. Bennett , Usama Fayyad , Dan Geiger, Density-based indexing for approximate nearest-neighbor queries, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.233-243, August 15-18, 1999, San Diego, California, United States
[doi> 10.1145/312129.312236]
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Stefan Berchtold , Christian Böhm , Hans-Peter Kriegal, The pyramid-technique: towards breaking the curse of dimensionality, Proceedings of the 1998 ACM SIGMOD international conference on Management of data, p.142-153, June 01-04, 1998, Seattle, Washington, United States
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G. Das, H. Mannila, P. Ronkainen. Similarity of Attributes by External Probes. KDD Conference Proceedings, pages 16-22, 1998.
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S. Deerwester et al. Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41(6): pages 391-407, 1990.
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U. Shaft, J. Goldstein, K. Beyer. Nearest Neighbor Query Performance for Unstable Distributions. Technical Report TR 1388, University of Wisconsin at Madison, 1998.
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Venkatesh Ganti , Johannes Gehrke , Raghu Ramakrishnan, CACTUS—clustering categorical data using summaries, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, p.73-83, August 15-18, 1999, San Diego, California, United States
[doi> 10.1145/312129.312201]
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R. Jain, D. A. White. Similarity Indexing: Algorithms and Performance. SPIE Storage and Retrieval for Image and Video Databases IV, 2670: pages 62-75, 1996.
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Nick Roussopoulos , Stephen Kelley , Frédéric Vincent, Nearest neighbor queries, Proceedings of the 1995 ACM SIGMOD international conference on Management of data, p.71-79, May 22-25, 1995, San Jose, California, United States
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.2
DATABASE MANAGEMENT
Additional Classification:
H.
Information Systems
H.2
DATABASE MANAGEMENT
H.2.8
Database applications
Subjects:
Data mining
H.3
INFORMATION STORAGE AND RETRIEVAL
H.3.1
Content Analysis and Indexing
Subjects:
Indexing methods
H.3.3
Information Search and Retrieval
Subjects:
Search process
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.8
Problem Solving, Control Methods, and Search
Subjects:
Heuristic methods
General Terms:
Algorithms,
Design,
Management,
Measurement,
Performance,
Reliability,
Theory,
Verification
Keywords:
dimensionality curse,
indexing
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