The New Jersey Data Reduction Report
暂无分享,去创建一个
Peter J. Haas | Christos Faloutsos | Kenneth A. Ross | H. V. Jagadish | Joseph M. Hellerstein | Yannis E. Ioannidis | Viswanath Poosala | Daniel Barbará | Raymond T. Ng | Kenneth C. Sevcik | Theodore Johnson | K. A. Ross | William DuMouchel | C. Faloutsos | J. Hellerstein | R. Ng | P. Haas | T. Johnson | V. Poosala | W. DuMouchel | Y. Ioannidis | D. Barbará | H. Jagadish | K. Sevcik | Daniel Barbar | Theodore Johnson | Daniel Barbará | J. Hellerstein | Raymond Ng
[1] W. Deming,et al. On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known , 1940 .
[2] W. Hoeffding. A Class of Statistics with Asymptotically Normal Distribution , 1948 .
[3] W. Hoeffding. Probability Inequalities for sums of Bounded Random Variables , 1963 .
[4] M. W. Birch. Maximum Likelihood in Three-Way Contingency Tables , 1963 .
[5] Solomon Kullback,et al. Approximating discrete probability distributions , 1969, IEEE Trans. Inf. Theory.
[6] R. Bayer,et al. Organization and maintenance of large ordered indices , 1970, SIGFIDET '70.
[7] J. L. Clutter,et al. Ranked Set Sampling Theory with Order Statistics Background , 1972 .
[8] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[9] Peter E. Hart,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[10] Stephen E. Fienberg,et al. Discrete Multivariate Analysis: Theory and Practice , 1976 .
[11] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[12] Douglas Comer,et al. Ubiquitous B-Tree , 1979, CSUR.
[13] J. Leeuw,et al. Principal component analysis of three-mode data by means of alternating least squares algorithms , 1980 .
[14] Robert Kooi,et al. The Optimization of Queries in Relational Databases , 1980 .
[15] J. T. Robinson,et al. The K-D-B-tree: a search structure for large multidimensional dynamic indexes , 1981, SIGMOD '81.
[16] Michel Scholl,et al. New file organization based on dynamic hashing , 1981, TODS.
[17] P. Glynn. Asymptotic Theory for Nonparametric Confidence Intervals. , 1982 .
[18] Olli Nevalainen,et al. An Algorithm for Unbiased Random Sampling , 1982, Comput. J..
[19] Gregory Piatetsky-Shapiro,et al. Accurate estimation of the number of tuples satisfying a condition , 1984, SIGMOD '84.
[20] Antonin Guttman,et al. R-trees: a dynamic index structure for spatial searching , 1984, SIGMOD '84.
[21] Hong Wang,et al. Recursive estimation and time-series analysis , 1986, IEEE Trans. Acoust. Speech Signal Process..
[22] Doron Rotem,et al. Simple Random Sampling from Relational Databases , 1986, VLDB.
[23] Christos Faloutsos,et al. The R+-Tree: A Dynamic Index for Multi-Dimensional Objects , 1987, VLDB.
[24] Wen-Chi Hou,et al. Statistical estimators for relational algebra expressions , 1988, PODS '88.
[25] Judea Pearl,et al. Probabilistic reasoning in intelligent systems , 1988 .
[26] David J. DeWitt,et al. Equi-depth multidimensional histograms , 1988, SIGMOD '88.
[27] T. Sager,et al. Characterization of a Ranked-Set Sample with Application to Estimating Distribution Functions , 1988 .
[28] Michael V. Mannino,et al. Statistical profile estimation in database systems , 1988, CSUR.
[29] F. M. Malvestuto. Computing the maximum-entropy extension of given discrete probability distributions , 1989 .
[30] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[31] Doron Rotem,et al. Random Sampling from B+ Trees , 1989, VLDB.
[32] Wen-Chi Hou,et al. Processing aggregate relational queries with hard time constraints , 1989, SIGMOD '89.
[33] David B. Lomet,et al. The hB-tree: a multiattribute indexing method with good guaranteed performance , 1990, TODS.
[34] Jeffrey F. Naughton,et al. On Estimating the Size of Projections , 1990, ICDT.
[35] J. Rao,et al. On estimating distribution functions and quantiles from survey data using auxiliary information , 1990 .
[36] Hans-Peter Kriegel,et al. The R*-tree: an efficient and robust access method for points and rectangles , 1990, SIGMOD '90.
[37] Jeffrey F. Naughton,et al. Practical selectivity estimation through adaptive sampling , 1990, SIGMOD '90.
[38] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[39] H. V. Jagadish,et al. Linear clustering of objects with multiple attributes , 1990, SIGMOD '90.
[40] Ping Xu,et al. Random sampling from hash files , 1990, SIGMOD '90.
[41] Dan E. Willard,et al. Optimal sample cost residues for differential database batch query problems , 1991, JACM.
[42] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[43] Kaizheng Du,et al. On Estimating COUNT, SUM, and AVERAGE Relational Algebra Queries , 1991 .
[44] Wen-Chi Hou,et al. Error-constrained COUNT query evaluation in relational databases , 1991, SIGMOD '91.
[45] Francesco M. Malvestuto,et al. Approximating discrete probability distributions with decomposable models , 1991, IEEE Trans. Syst. Man Cybern..
[46] Jeffrey F. Naughton,et al. Sampling Issues in Parallel Database Systems , 1992, EDBT.
[47] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[48] Michael W. Berry,et al. Large-Scale Sparse Singular Value Computations , 1992 .
[49] Audra E. Kosh,et al. Linear Algebra and its Applications , 1992 .
[50] F. Olken,et al. Maintenance of materialized views of sampling queries , 1992, [1992] Eighth International Conference on Data Engineering.
[51] Gennady Antoshenkov,et al. Random Sampling from Pseudo-Ranked B+ Trees , 1992, VLDB.
[52] Jason Catlett,et al. Peepholing: Choosing Attributes Efficiently for Megainduction , 1992, ML.
[53] Peter J. Haas,et al. Sequential sampling procedures for query size estimation , 1992, SIGMOD '92.
[54] Susan T. Dumais,et al. Personalized information delivery: an analysis of information filtering methods , 1992, CACM.
[55] Chris Adie. Distributed Multimedia Information Systems , 1993, Comput. Networks ISDN Syst..
[56] G. Antoshenkov,et al. Dynamic query optimization in Rdb/VMS , 1993, Proceedings of IEEE 9th International Conference on Data Engineering.
[57] Susan T. Dumais,et al. Latent Semantic Indexing (LSI) and TREC-2 , 1993, TREC.
[58] A. Kuk. A kernel method for estimating finite population distribution functions using auxiliary information , 1993 .
[59] Jaideep Srivastava,et al. Algorithms for loading parallel grid files , 1993, SIGMOD Conference.
[60] Frank Olken,et al. Random Sampling from Databases , 1993 .
[61] Jeffrey F. Naughton,et al. Efficient Sampling Strategies for Relational Database Operations , 1993, Theor. Comput. Sci..
[62] Yannis E. Ioannidis,et al. Universality of Serial Histograms , 1993, VLDB.
[63] Kevin D. Seppi,et al. A Bayesian Approach to Database Query Optimization , 1993, INFORMS J. Comput..
[64] Stavros Christodoulakis,et al. Optimal histograms for limiting worst-case error propagation in the size of join results , 1993, TODS.
[65] Richard E. Crandall,et al. Projects in scientific computation , 1994 .
[66] Heikki Mannila,et al. The power of sampling in knowledge discovery , 1994, PODS '94.
[67] Nick Roussopoulos,et al. Adaptive selectivity estimation using query feedback , 1994, SIGMOD '94.
[68] R. Ng,et al. Eecient and Eeective Clustering Methods for Spatial Data Mining , 1994 .
[69] Yannis E. Ioannidis,et al. Balancing histogram optimality and practicality for query result size estimation , 1995, SIGMOD '95.
[70] Histogram-Based Solutions to Diverse Database Estimation Problems , 1995, IEEE Data Eng. Bull..
[71] Kuansan Wang,et al. Spectral shape analysis in the central auditory system , 1995, IEEE Trans. Speech Audio Process..
[72] Jeffrey F. Naughton,et al. Generalized Search Trees for Database Systems , 1995, VLDB.
[73] Hans-Peter Kriegel,et al. Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification , 1995, SSD.
[74] Jeffrey F. Naughton,et al. Sampling-Based Estimation of the Number of Distinct Values of an Attribute , 1995, VLDB.
[75] Christos Faloutsos,et al. FastMap: a fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets , 1995, SIGMOD '95.
[76] Yannis E. Ioannidis,et al. Estimation of Query-Result Distribution and its Application in Parallel-Join Load Balancing , 1996, VLDB.
[77] Tian Zhang,et al. BIRCH: an efficient data clustering method for very large databases , 1996, SIGMOD '96.
[78] Peter J. Haas,et al. Improved histograms for selectivity estimation of range predicates , 1996, SIGMOD '96.
[79] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[80] Christos Faloutsos,et al. Searching Multimedia Databases by Content , 1996, Advances in Database Systems.
[81] Peter J. Haas,et al. Hoeffding inequalities for join-selectivity estimation and online aggregation , 1996 .
[82] Jeffrey F. Naughton,et al. Selectivity and Cost Estimation for Joins Based on Random Sampling , 1996, J. Comput. Syst. Sci..
[83] Yossi Matias,et al. Bifocal sampling for skew-resistant join size estimation , 1996, SIGMOD '96.
[84] Christos H. Papadimitriou,et al. On the analysis of indexing schemes , 1997, PODS '97.
[85] Helen J. Wang,et al. Online aggregation , 1997, SIGMOD '97.
[86] Christos Faloutsos,et al. Efficiently supporting ad hoc queries in large datasets of time sequences , 1997, SIGMOD '97.
[87] Peter J. Haas,et al. Large-sample and deterministic confidence intervals for online aggregation , 1997, Proceedings. Ninth International Conference on Scientific and Statistical Database Management (Cat. No.97TB100150).
[88] Yannis E. Ioannidis,et al. Selectivity Estimation Without the Attribute Value Independence Assumption , 1997, VLDB.
[89] Jiong Yang,et al. STING: A Statistical Information Grid Approach to Spatial Data Mining , 1997, VLDB.
[90] Carl-Erik Särndal,et al. Model Assisted Survey Sampling , 1997 .
[91] P. Haas,et al. Estimating the Number of Classes in a Finite Population , 1998 .
[92] Paul M. Aoki. Generalizing "search" in generalized search trees , 1998, Proceedings 14th International Conference on Data Engineering.
[93] Oliver Günther,et al. Multidimensional access methods , 1998, CSUR.
[94] Daniel Barbará,et al. Quasi-Cubes: A Space-E cient Way to Support Approximate Multidimensional Databases , 1998 .