Summarization: In many data base performance studies there is a need to estimate the number of records of a file which qualify in a query, as well as the number of blocks of secondary storage which contain these records. In this paper we present a model of data base contents and data placement on devices. We extend a multivariate statistical model that was used for the estimation of record selectivities in [5] to model the distribution of records that qualify in a query among the blocks of secondary storage. Then we show how to obtain estimates of block selectivities and we compare our estimates with the estimates of previous models.Presented on: Information System
To prevent resource (especially storage) shortage, information systems such as storage services and ...
Summarization: We develop a theoretical framework to characterize the hardness of indexing data sets...
In this work we show how Vapnik-Chervonenkis (VC) dimension, a fundamental result in statistical lea...
Summarization: In this paper we examine the problem of modelling data base contents and user request...
The estimation of the cost of processing a query using a particular access path under a given physic...
New application domains cause todays database sizes to grow rapidly, posing great demands on technol...
Expressions available in the current literature to estimate the number of blocks accessed in a rando...
Includes bibliographical references.This project is a study of the space density of a file and how i...
We address the issue of optimal block choice in applications of the block bootstrap to dependent dat...
Modelling the distribution of document scores returned from an information retrieval (IR) system in ...
In the estimation of selectivity, many models assume that data is uniformly distributed, which is no...
New application domains cause today's database sizes to grow rapidly, posing great demands on techno...
In this paper, we propose a novel approach for estimating the record selectivities of database queri...
We consider the fundamental operation of applying a compound filtering condition to a set of records...
Text includes handwritten formulasThis thesis is concerned with the problem of determining optimal s...
To prevent resource (especially storage) shortage, information systems such as storage services and ...
Summarization: We develop a theoretical framework to characterize the hardness of indexing data sets...
In this work we show how Vapnik-Chervonenkis (VC) dimension, a fundamental result in statistical lea...
Summarization: In this paper we examine the problem of modelling data base contents and user request...
The estimation of the cost of processing a query using a particular access path under a given physic...
New application domains cause todays database sizes to grow rapidly, posing great demands on technol...
Expressions available in the current literature to estimate the number of blocks accessed in a rando...
Includes bibliographical references.This project is a study of the space density of a file and how i...
We address the issue of optimal block choice in applications of the block bootstrap to dependent dat...
Modelling the distribution of document scores returned from an information retrieval (IR) system in ...
In the estimation of selectivity, many models assume that data is uniformly distributed, which is no...
New application domains cause today's database sizes to grow rapidly, posing great demands on techno...
In this paper, we propose a novel approach for estimating the record selectivities of database queri...
We consider the fundamental operation of applying a compound filtering condition to a set of records...
Text includes handwritten formulasThis thesis is concerned with the problem of determining optimal s...
To prevent resource (especially storage) shortage, information systems such as storage services and ...
Summarization: We develop a theoretical framework to characterize the hardness of indexing data sets...
In this work we show how Vapnik-Chervonenkis (VC) dimension, a fundamental result in statistical lea...