vldb_2000_elementary.txt

利用lwp：：get写的

 Cambridge University Press 1995, ISBN 0-521-47465-5</name><name>Efficient and Effective Clustering Methods for Spatial Data Mining.</name><name>Creating a Customized Access Method for Blobworld.</name><name>A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces.</name><name>BIRCH: An Efficient Data Clustering Method for Very Large Databases.</name></citation><abstract></abstract></paper><paper><title>Dynamic Maintenance of Wavelet-Based Histograms.</title><author><AuthorName>Yossi Matias</AuthorName><institute><InstituteName></InstituteName><country></country></institute></author><author><AuthorName>Jeffrey Scott Vitter</AuthorName><institute><InstituteName></InstituteName><country></country></institute></author><author><AuthorName>Min Wang</AuthorName><institute><InstituteName></InstituteName><country></country></institute></author><year>2000</year><conference>International Conference on Very Large Data Bases</conference><citation><name>Self-tuning Histograms: Building Histograms Without Looking at Data.</name><name>Dynamic Histograms: Capturing Evolving Data Sets.</name><name>Probabilistic Counting Algorithms for Data Base Applications.</name><name>Fast Incremental Maintenance of Approximate Histograms.</name><name>Multi-dimensional Selectivity Estimation Using Compressed Histogram Information.</name><name>Equi-Depth Histograms For Estimating Selectivity Factors For Multi-Dimensional Queries.</name><name>Approximate Medians and other Quantiles in One Pass and with Limited Memory.</name><name>Wavelet-Based Histograms for Selectivity Estimation.</name><name>Selectivity Estimation Without the Attribute Value Independence Assumption.</name><name>Improved Histograms for Selectivity Estimation of Range Predicates.</name><name>Histogram-Based Estimation Techniques in Database Systems.
Ph.D. thesis,  Univ. of Wisconsin-Madison 1997</name><name>Accurate Estimation of the Number of Tuples Satisfying a Condition.</name><name>Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets.</name><name>Data Cube Approximation and Histograms via Wavelets.</name><name>Human Behaviour and the Principle of Least Effort: an Introduction to Human Ecology.
 Addison-Wesley 1949</name></citation><abstract></abstract></paper><paper><title>Approximate Query Processing Using Wavelets.</title><author><AuthorName>Kaushik Chakrabarti</AuthorName><institute><InstituteName></InstituteName><country></country></institute></author><author><AuthorName>Minos N. Garofalakis</AuthorName><institute><InstituteName></InstituteName><country></country></institute></author><author><AuthorName>Rajeev Rastogi</AuthorName><institute><InstituteName></InstituteName><country></country></institute></author><author><AuthorName>Kyuseok Shim</AuthorName><institute><InstituteName></InstituteName><country></country></institute></author><year>2000</year><conference>International Conference on Very Large Data Bases</conference><citation><name>Join Synopses for Approximate Query Answering.</name><name>Sampling Techniques, 3rd Edition.