The problem of indexing multidimensional objects is considered. First, a classification of existing methods in given along with a discussion of the major issues involved in multidimensional data indexing. Second, a variation to Guttman's R-trees (R+ -trees) that avoids overlapping rectangles in intermediate nodes of the tree is introduced. Algorithms for searching, updating, initial packing and reorganization of the structure are discussed in detail. Finally, we provide analytical results indicating that R+ -tree achieve up to 50% savings in disk accesses compared to an R-tree when searching files of thousands of rectangles
We describe an indexing method for parametric rectangles that were recently proposed in [6] to repre...
Abstract. Nowadays feature vector based similarity search is increasingly emerging in database syste...
In this paper, we propose a new metric index, called M+-tree, which is a tree dynamically organized ...
The problem of indexing multidimensional objects is considered. First, a classification of existing ...
This paper provides an analysis of R-trees and a variation (R+ - trees) that avoids overlapping rect...
In this paper, we propose a new method for indexing large amounts of point and spatial data in highd...
In this paper, we propose a new method for indexing large amounts of point and spatial data in highd...
In this paper, we propose a new method for index-ing large amounts of point and spatial data in high...
In this paper, we propose a new method for index-ing large amounts of point and spatial data in high...
In this work variation of R-tree, which hierarchically partition indexed space using minimum volume ...
In this work variation of R-tree, which hierarchically partition indexed space using minimum volume ...
Abstract. Multidimensional indexing is concerned with the indexing of multi-attributed records, wher...
Abstract- The problem of retrieving multikey records via range queries from a large;dynamic index is...
The goal of this work was to implement a multidimensional indexing method into a database system and...
The goal of this work was to implement a multidimensional indexing method into a database system and...
We describe an indexing method for parametric rectangles that were recently proposed in [6] to repre...
Abstract. Nowadays feature vector based similarity search is increasingly emerging in database syste...
In this paper, we propose a new metric index, called M+-tree, which is a tree dynamically organized ...
The problem of indexing multidimensional objects is considered. First, a classification of existing ...
This paper provides an analysis of R-trees and a variation (R+ - trees) that avoids overlapping rect...
In this paper, we propose a new method for indexing large amounts of point and spatial data in highd...
In this paper, we propose a new method for indexing large amounts of point and spatial data in highd...
In this paper, we propose a new method for index-ing large amounts of point and spatial data in high...
In this paper, we propose a new method for index-ing large amounts of point and spatial data in high...
In this work variation of R-tree, which hierarchically partition indexed space using minimum volume ...
In this work variation of R-tree, which hierarchically partition indexed space using minimum volume ...
Abstract. Multidimensional indexing is concerned with the indexing of multi-attributed records, wher...
Abstract- The problem of retrieving multikey records via range queries from a large;dynamic index is...
The goal of this work was to implement a multidimensional indexing method into a database system and...
The goal of this work was to implement a multidimensional indexing method into a database system and...
We describe an indexing method for parametric rectangles that were recently proposed in [6] to repre...
Abstract. Nowadays feature vector based similarity search is increasingly emerging in database syste...
In this paper, we propose a new metric index, called M+-tree, which is a tree dynamically organized ...