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Volumn 1676, Issue , 1999, Pages 251-260

Efficient bulk loading of large high-dimensional indexes

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSES; DIGITAL STORAGE; QUERY PROCESSING; WAREHOUSES;

EID: 84958060788     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48298-9_27     Document Type: Conference Paper
Times cited : (7)

References (17)
  • 1
    • 84968315519 scopus 로고    scopus 로고
    • Fast Clustering Using High-Dimensional Similarity Joins
    • Böhm, Braunmüller, Breunig, Kriegel: ‘Fast Clustering Using High-Dimensional Similarity Joins’, submitted for publication, 1999.
    • (1999) Submitted for Publication
    • Böhm, B.1    Breunig, K.2
  • 2
    • 84968397552 scopus 로고    scopus 로고
    • Sander: ‘Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces’
    • Berchtold, Böhm, Jagadish, Kriegel, Sander: ‘Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces’, submitted for publication, 1999.
    • (1999) Submitted for Publication
    • Berchtold, B.1    Jagadish, K.2
  • 3
    • 0012975570 scopus 로고    scopus 로고
    • Kriegel: ‘Improving the Query Performance of High-Dimensional Index Structures Using Bulk-Load Operations’
    • Berchtold, Böhm, Kriegel: ‘Improving the Query Performance of High-Dimensional Index Structures Using Bulk-Load Operations’, Int. Conf. on Extending Database Techn., EDBT, 1998.
    • (1998) Int. Conf. On Extending Database Techn., EDBT
    • Berchtold, B.1
  • 5
    • 84968375566 scopus 로고    scopus 로고
    • Dynamically Optimizing High-Dimensional Index Structures
    • Böhm, Kriegel: ‘Dynamically Optimizing High-Dimensional Index Structures’, subm., 1999.
    • (1999) Subm.
    • Böhm, K.1
  • 6
    • 0001802606 scopus 로고    scopus 로고
    • Kriegel: ‘The X-Tree: An Index Structure for High-Dimensional Data’
    • Berchtold, Keim, Kriegel: ‘The X-Tree: An Index Structure for High-Dimensional Data’, Int. Conf. on Very Large Data Bases, VLDB, 1996.
    • (1996) Int. Conf. On Very Large Data Bases VLDB
    • Berchtold, K.1
  • 9
    • 0000550189 scopus 로고    scopus 로고
    • A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise’
    • Disc. and Data Mining, KDD
    • Ester, Kriegel, Sander, Xu: ‘A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise’, Int. Conf. Knowl. Disc. and Data Mining, KDD, 1996.
    • (1996) Int. Conf. Knowl
    • Ester, K.1    Sander, X.2
  • 12
    • 0029772894 scopus 로고    scopus 로고
    • SPIE Storage and Retrieval for Image and Video Databases IV, Vol
    • Jain, White: ‘Similarity Indexing: Algorithms and Performance’, SPIE Storage and Retrieval for Image and Video Databases IV, Vol. 2670, 1996.
    • Similarity Indexing: Algorithms and Performance , pp. 1996
    • Jain, W.1
  • 15
    • 0003136237 scopus 로고
    • Efficient and Effective Clustering Methods for Spatial Data Mining’
    • Ng, Han: ‘Efficient and Effective Clustering Methods for Spatial Data Mining’, Int. Conf. On Very Large Data Bases, VLDB, 1994.
    • (1994) Int. Conf. On Very Large Data Bases, VLDB
    • Ng, H.1
  • 16
    • 0004244040 scopus 로고
    • Garland, New York
    • Sedgewick: ‘Quicksort’, Garland, New York, 1978.
    • (1978) Quicksort
    • Sedgewick1
  • 17
    • 0000681228 scopus 로고    scopus 로고
    • Blott: ‘A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces’
    • Weber, Schek, Blott: ‘A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces’, Int. Conf. on Very Large Databases, VLDB, 1998.
    • (1998) Int. Conf. On Very Large Databases, VLDB
    • Weber, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.