Module 9: References
Lecture 41: Reading Material
 

                                                                                         

 

 

Reading
  • Dynamic hashing [Larson 1978]
  • Greene's R-tree [Greene 1989]
Bibliography
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    Database-friendly random projections.
    In Proc. Symposium on Principles of Database Systems (PODS), pages 274{281,2001.
  • D. Achlioptas.
    Database-friendly random projections: Johnson-lindenstrauss with binary coins.
    J. Computer and System Sciences, 66(4):671-687, 2003.
  • N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger.
    The r*-tree: An efficient and robust access method for points and rectangles.
    In Special Interest Group on Management of Data (SIGMOD), pages 322-331,1990.
  • J. L. Bentley.
    Multidimensional binary search trees used for associative searching.
    Communications of the ACM, 18(9):509-517, 1975.
  • S. Berchtold, D. Keim, and H. P. Kriegel.
    The x-tree: An index structure for high-dimensional data.
    In Very Large Data Bases Conf. (VLDB), pages 28-39, 1996.
  • S. Berchtold, C. B ohm, and H.-P. Kriegel.
    The pyramid-technique: Towards breaking the curse of dimensionality.
    In SIGMOD, pages 142-153, 1998.
  • K. S. Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft.
    When is "nearest neighbor" meaningful?
    In ICDT '99: Proceeding of the 7th Int. Conf. on Database Theory, pages 217-235,1999.
  • A. Bhattacharya, P. Kar, and M. Pal.
    On low distortion embeddings of statistical distance measures into low dimensional spaces.
    In Int. Conf. Database and Expert Systems Applications (DEXA), pages 164-172,2009.
  • A. Bhattacharya, P. Kar, and M. Pal.
    On low distortion embeddings of statistical distance measures into low dimensional spaces.
    arXiv:0909.3169v1 [cs.CG], 2009.
  • A. Bhattacharyya.
    On a measure of divergence between two statistical populations defined by their probability distributions.
    Bulletin of Calcutta Mathematical Society, 35:99-110, 1943.
  • S. Brzsnyi, D. Kossmann, and K. Stocker.
    The skyline operator.
    In ICDE, pages 421-430, 2001.
  • J. Bourgain.
    On Lipschitz embedding of finite metric spaces in Hilbert space.
    Israel Journal of Mathematics, 52(1-2):46-52, 1985.
  • J. Chomicki, P. Godfrey, J. Gryz, and D. Liang.
    Skyline with presorting.
    In ICDE, pages 717-719, 2003.
  • P. Ciaccia, M. Patella, and P. Zezula.
    M-tree: An efficient access method for similarity search in metric spaces.
    In Very Large Data Bases Conf. (VLDB), pages 426-435, 1997.
  • R. Fagin, J. Nievergelt, N. Pippenger, and H. R. Strong.
    Extendible hashing-a fast access method for dynamic files.
    ACM Transactions on Database Systems, 4(3):315-344, 1979.
  • R. Fagin, A. Lotem, and M. Naor.
    Optimal aggregation algorithms for middleware.
    In Symposium on Principles of Database Systems (PODS), pages 102-113, 2001.
  • R. Fagin, A. Lotem, and M. Naor.
    Optimal aggregation algorithms for middleware.
    J. Computer and System Sciences, 66(4):614-656, 2003.
  • R. Fagin.
    Combining fuzzy information from multiple systems.
    In Proc. of the Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), pages 216-226, 1996.
  • R. Fagin.
    Combining fuzzy information from multiple systems.
    J. Computer and System Sciences, 58(1):83-99, 1999.
  • C. Faloutsos and K.-I. Lin.
    Fastmap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets.
    In Proc. of ACM Special Interest Group on Management of Data (SIGMOD), pages 163-174, 1995.
  • H. Ferhatosmanoglu, E. Tuncel, D. Agrawal, and A. E. Abbadi.
    Vector approximation based indexing for non-uniform high dimensional data sets.
    In Int. Conf. Information and Knowledge Management (CIKM), pages 202-209,2000.
  • R. Finkel and J. L. Bentley.
    Quad trees: A data structure for retrieval on composite keys.
    Acta Informatica, 4(1):1-9, 1974.
  • D. Greene.
    An implementation and performance analysis of spatial data access methods.
    In Proc. Fifth Int. Conf. on Data Engineering (ICDE), pages 606-615, 1989.
  • A. Guttman.
    R-trees: A dynamic index structure for spatial searching.
    In Special Interest Group on Management of Data (SIGMOD), pages 47-57, 1984.
  • G. R. Hjaltason and H. Samet.
    Distance browsing in spatial databases.
    ACM Trans. Database Syst., 24(2):265-318, 1999.
  • G. Hristescu and M. Farach-Colton.
    Cluster-preserving embedding of proteins.
    Technical Report 99-50, Dept. of Computer Science, Rutgers University, 1999.
  • H. V. Jagadish, N. Koudas, S. Muthukrishnan, V. Poosala, K. Sevcik, and T. Suel.
    Optimal histograms with quality guarantees.
    In Very Large Data Bases Conf. (VLDB), pages 275-286, 1998
  • H. V. Jagadish.
    Linear clustering of objects with multiple attributes.
    In Proc. 1990 ACM SIGMOD Int. Conf. Management of Data (SIGMOD), pages 332-342, 1990.
  • H. V. Jagadish.
    Spatial search with polyhedra.
    In Proc. 6th IEEE Int. Conf. Data Engineering (ICDE), pages 311-319, 1990.
  • W. Johnson and J. Lindenstrauss.
    Extensions of Lipschitz mappings into a Hilbert space.
    Contemporary Mathematics, 26:189-206, 1984.
  • N. Katayama and S. Satoh.
    The sr-tree: An index structure for high-dimensional nearest neighbor queries.
    In Proc. of the ACM SIGMOD Int. Conf. on Management of Data, pages 369-380,1997.
  • D. Kossmann, F. Ramsk, and S. Rost.
    Shooting stars in the sky: an online algorithm for skyline queries.
    In VLDB, pages 275-286, 2002.
  • P.-. Larson.
    Dynamic hashing.
    BIT, 18(2):184-201, 1978.
  • P.-. Larson.
    Dynamic hash tables.
    Communications of the ACM (CACM), 31(4):446-457, 1988.
  • D. T. Lee and C. K. Wong.
    Worst-case analysis for region and partial region searches in multidimensional binary search trees and balanced quad trees.
    Acta Informatica, 9:23-29, 1977.
  • N. Linial, E. London, and Y. Rabinovich.
    The geometry of graphs and some of its algorithmic applications.
    Combinatorica, 15:215-245, 1995.
  • W. Litwin.
    Linear hashing: A new tool for file and table addressing.
    In Proc. 6th Conference on Very Large Databases (VLDB), pages 212-223, 1980.
  • V. Ljosa, A. Bhattacharya, and A. K. Singh.
    Indexing spatially sensitive distance measures using multi-resolution lower bounds.
    In Int. Conf. on Extending Database Technology (EDBT), pages 865-883, 2006.
  • V. Ljosa, A. Bhattacharya, and A. K. Singh.
    LB-index: A multi-resolution index structure for images.
    In Int. Conf. on Data Engineering (ICDE), pages 144-145, 2006.
  • P. C. Mahalanobis.
    On the generalised distance in statistics.
    Proc. of the National Institute of Science of India, 2:49-55, 1936.
  • B. Moon, H. V. Jagadish, C. Faloutsos, and J. H. Saltz.
    Analysis of the clustering properties of the Hilbert space-filling curve.
    IEEE Transactions on Knowledge and Data Engineering, 13(1):124-141, 2001.
  • J. Nievergelt, H. Hinterberger, and K. C. Sevcik.
    The grid file: An adaptable, symmetric multikey file structure.
    ACM Trans. on Database Systems (TODS), 9(1):38-71, 1984.
  • S. Peleg, M. Werman, and H. Rom.
    A unified approach to the change of resolution: Space and gray-level.
    IEEE Trans. on Pattern Analysis and Machine Intelligence, 11:739-742, 1989.
  • J. T. Robinson.
    The k-d-b-tree: A search structure for large multidimensional dynamic indexes.
    In Proc. of the ACM SIGMOD Int. Conf. on Management of Data, pages 10-18,1981.
  • Y. Rubner, C. Tomasi, and L. J. Guibas.
    The earth mover's distance as a metric for image retrieval.
    Int. J. Computer Vision, 40(2):99-121, 2000.
  • T. K. Sellis, N. Roussopoulos, and C. Faloutsos.
    The r+-tree: A dynamic index for multi-dimensional objects.
    In Proc. 13th Int. Conf. on Very Large Data Bases (VLDB), pages 507-518, 1987.
  • K.-L. Tan, P.-K. Eng, and B. C. Ooi.
    Efficient progressive skyline computation.
    In VLDB, pages 301-310, 2001.
  • R. Weber, H.-J. Schek, and S. Blott.
    A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces.
    In Very Large Data Bases Conf. (VLDB), pages 194-205, 1998.
  • M. Werman, S. Peleg, and A. Rosenfeld.
    A distance metric for multi-dimensional histograms.
    Computer, Vision, Graphics, and Image Processing, 32(3):328-336, 1985.
  • D. A. White and R. Jain.
    Similarity indexing: Algorithms and performance.
    In SPIE Storage and Retrieval for Image and Video Databases, pages 62-73, 1996.
  • D. A. White and R. Jain.
    Similarity indexing with the ss-tree.
    In Proc. of the Twelfth Int. Conf. on Data Engineering, pages 516-523, 1996.

 

 

 

 

 

 

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