The Rectangular Attribute Cardinality Map (R-ACM) is a new histogram-like approximation strategy that aims to approximate the density of the underlying attribute values using the philosophies of numerical integration. Analytically, it is shown that for the R-ACM, the distribution of an attribute value within the sector is Binomially distributed. Theoretical results show that the R-ACM scheme is much more accurate than the traditional histograms for query result size estimation
Many commercial database systems use some form of statistics, typically histograms, to summarize the...
Histogram techniques have been used in many commercial database management systems to estimate a que...
This article is a companion to an invited talk at ICDT\u272022 with the same title. Cardinality esti...
Histogram techniques are used to efficiently estimate query result sizes in most of the modern-day d...
Current business database systems utilize histograms to approximate frequency distributions of attri...
One of the most difficult tasks in modern day database management systems is information retrieval. ...
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leve...
Abstract: - In this paper, a method for estimating the size of relational query results is proposed....
For the mainstream relational database management systems, histograms play im-portant roles in cardi...
The problem of database query optimization consisting of the system choosing the most economical que...
Obtaining the optimal query execution plan requires a selectivity estimation. The selectivity value ...
Cardinality estimation is an important component of query optimization. Its accuracy and efficiency ...
Accurate cardinality estimation is critically important to high-quality query optimization. It is we...
Part 4: Data Analysis and Information RetrievalInternational audienceSelectivity estimation is a par...
Database query engines typically rely upon query size estimators in order to evaluate the potential ...
Many commercial database systems use some form of statistics, typically histograms, to summarize the...
Histogram techniques have been used in many commercial database management systems to estimate a que...
This article is a companion to an invited talk at ICDT\u272022 with the same title. Cardinality esti...
Histogram techniques are used to efficiently estimate query result sizes in most of the modern-day d...
Current business database systems utilize histograms to approximate frequency distributions of attri...
One of the most difficult tasks in modern day database management systems is information retrieval. ...
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leve...
Abstract: - In this paper, a method for estimating the size of relational query results is proposed....
For the mainstream relational database management systems, histograms play im-portant roles in cardi...
The problem of database query optimization consisting of the system choosing the most economical que...
Obtaining the optimal query execution plan requires a selectivity estimation. The selectivity value ...
Cardinality estimation is an important component of query optimization. Its accuracy and efficiency ...
Accurate cardinality estimation is critically important to high-quality query optimization. It is we...
Part 4: Data Analysis and Information RetrievalInternational audienceSelectivity estimation is a par...
Database query engines typically rely upon query size estimators in order to evaluate the potential ...
Many commercial database systems use some form of statistics, typically histograms, to summarize the...
Histogram techniques have been used in many commercial database management systems to estimate a que...
This article is a companion to an invited talk at ICDT\u272022 with the same title. Cardinality esti...