In this paper we consider the case of nonuniform weakly correlated or independent multidimensional record distributions. After demonstrating the advantages of multidimensional hashing schemes without directory, we suggest piecewise linear expansions in order to distribute the load more evenly over the pages of the file. The re-suiting piecewise linear order preserving hashing scheme (PLOP-Hashing) is then compared to the 2-level grid file which turned out to be the most popular scheme in practical applications. Let us consider a file of d-attribute composite keys K = (K1,..,Kd), d> 1. Our goal is to maintain a file efficiently supporting the following operations
[[abstract]]In this paper, we shall show that the symbolic Gray code hashing mechanism is not only g...
In this paper we consider file organization schemes for binary-valued records and a selected set Q(k...
Abstract. In this paper, we propose Partition min-Hash (PmH), a novel hashing scheme for discovering...
Abstract-In this paper, we propose a generalized approach for designing a class of dynamic hashing s...
[[abstract]]This paper results from an attempt to unify several different file system design theorie...
Join is an operation that is frequently used and the most expensive in processing database queries. ...
LH * generalizes Linear Hsshing to parallel or distributed RAM and disk files. An LH * file can be c...
Abstract—A multidimensional file is one whose data are characterized by several attributes, each spe...
AbstractThis paper gives an input independent average linear time algorithm for storage and retrieva...
Hashing is a useful tool for contents-based image retrieval on large scale database. This paper pres...
The explosive growth of the vision data motivates the recent studies on efficient data indexing meth...
Hashing is a useful tool for contents-based image retrieval on large scale database. This paper pres...
This paper gives an i, put independe, t average linear time algorithm for storage and retrieval on ...
Linear Hashing is a dynamically updateable disk-based index structure which implements a hashing sch...
The p-stable distribution is traditionally used for data-independent hashing. In this paper, we desc...
[[abstract]]In this paper, we shall show that the symbolic Gray code hashing mechanism is not only g...
In this paper we consider file organization schemes for binary-valued records and a selected set Q(k...
Abstract. In this paper, we propose Partition min-Hash (PmH), a novel hashing scheme for discovering...
Abstract-In this paper, we propose a generalized approach for designing a class of dynamic hashing s...
[[abstract]]This paper results from an attempt to unify several different file system design theorie...
Join is an operation that is frequently used and the most expensive in processing database queries. ...
LH * generalizes Linear Hsshing to parallel or distributed RAM and disk files. An LH * file can be c...
Abstract—A multidimensional file is one whose data are characterized by several attributes, each spe...
AbstractThis paper gives an input independent average linear time algorithm for storage and retrieva...
Hashing is a useful tool for contents-based image retrieval on large scale database. This paper pres...
The explosive growth of the vision data motivates the recent studies on efficient data indexing meth...
Hashing is a useful tool for contents-based image retrieval on large scale database. This paper pres...
This paper gives an i, put independe, t average linear time algorithm for storage and retrieval on ...
Linear Hashing is a dynamically updateable disk-based index structure which implements a hashing sch...
The p-stable distribution is traditionally used for data-independent hashing. In this paper, we desc...
[[abstract]]In this paper, we shall show that the symbolic Gray code hashing mechanism is not only g...
In this paper we consider file organization schemes for binary-valued records and a selected set Q(k...
Abstract. In this paper, we propose Partition min-Hash (PmH), a novel hashing scheme for discovering...