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STHoles: A Multidimensional Workload-Aware Histogram PowerPoint PPT Presentation

STHoles: A Multidimensional Workload-Aware Histogram - Used for selectivity estimation and approximate query processing. ... Overhead for intercepting query results in Microsoft SQL Server 2000 is less than 8 ...

Used for selectivity estimation and approximate query processing. ... Overhead for intercepting query results in Microsoft SQL Server 2000 is less than 8 ...

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A Black-Box Approach to Query Cardinality Estimation PowerPoint PPT Presentation

A Black-Box Approach to Query Cardinality Estimation - Does not build a model. The Black Box approach. Data independent in both inputs and estimation ... Compact models, summary data structures ...

Does not build a model. The Black Box approach. Data independent in both inputs and estimation ... Compact models, summary data structures ...

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Approximate%20querying%20about%20the%20Past,%20the%20Present,%20and%20the%20Future%20in%20Spatio-Temporal%20Databases PowerPoint PPT Presentation

Approximate%20querying%20about%20the%20Past,%20the%20Present,%20and%20the%20Future%20in%20Spatio-Temporal%20Databases - Approximate querying about the Past, the Present, and the Future in Spatio-Temporal Databases Jimeng Sun, Dimitris Papadias, Yufei Tao, Bin Liu

Approximate querying about the Past, the Present, and the Future in Spatio-Temporal Databases Jimeng Sun, Dimitris Papadias, Yufei Tao, Bin Liu

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Compact Histograms for Hierarchical Identifiers PowerPoint PPT Presentation

Compact Histograms for Hierarchical Identifiers - Compact Histograms for Hierarchical Identifiers. Frederick Reiss (IBM Almaden Research Center) ... (IP addresses, RFID tag IDs, Credit card numbers, etc) Table ...

Compact Histograms for Hierarchical Identifiers. Frederick Reiss (IBM Almaden Research Center) ... (IP addresses, RFID tag IDs, Credit card numbers, etc) Table ...

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Approximate querying about the Past, the Present, and the Future in SpatioTemporal Databases PowerPoint PPT Presentation

Approximate querying about the Past, the Present, and the Future in SpatioTemporal Databases - Historical time query - Historical Synopsis. Future time query - Prediction Model. 5 ... Historical Synopsis. AMH maintains the current buckets. Past index ...

Historical time query - Historical Synopsis. Future time query - Prediction Model. 5 ... Historical Synopsis. AMH maintains the current buckets. Past index ...

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Approximate Query Processing: Taming the TeraBytes! A Tutorial PowerPoint PPT Presentation

Approximate Query Processing: Taming the TeraBytes! A Tutorial - Multi-D Histograms, Join synopses, Wavelets. Set-Valued Queries ... Can also use one-pass quantile algorithms (e.g., [GK01]) Count in. bucket. Domain values ...

Multi-D Histograms, Join synopses, Wavelets. Set-Valued Queries ... Can also use one-pass quantile algorithms (e.g., [GK01]) Count in. bucket. Domain values ...

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Compact Histograms for Hierarchical Identifiers - Error metric, expressed as a distributive aggregate. Output: ... time for generic distributive error. Overlapping: Longest-Prefix-Match: Heuristics range from to ...

Error metric, expressed as a distributive aggregate. Output: ... time for generic distributive error. Overlapping: Longest-Prefix-Match: Heuristics range from to ...

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References (1) PowerPoint PPT Presentation

References (1) - Tracking Join and Self-Join Sizes in Limited Storage'. ACM PODS 1999. ... [GKM01b] A.C. Gilbert, Y. Kotidis, S. Muthukrishnan, and M.J. Strauss. ...

Tracking Join and Self-Join Sizes in Limited Storage'. ACM PODS 1999. ... [GKM01b] A.C. Gilbert, Y. Kotidis, S. Muthukrishnan, and M.J. Strauss. ...

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A Quick Introduction to Approximate Query Processing Part II PowerPoint PPT Presentation

A Quick Introduction to Approximate Query Processing Part II - Data Warehousing: Consolidate data from many ... Problem: range-query selectivity estimation ... Selectivity estimation for queries with multiple predicates ...

Data Warehousing: Consolidate data from many ... Problem: range-query selectivity estimation ... Selectivity estimation for queries with multiple predicates ...

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