Results 1  10
of
11,559
Multidimensional Searching Trees with Minimum Attribute
 JSSST Computer Software
, 2002
"... This paper proposes a new data structure, called kdm tree, to address an ecient algorithm for solving the minima searching problem in multidimensional space, which has many applications in areas such as data mining and computational geometry. We will show that with kdm tree, not only minima sear ..."
Abstract
 Add to MetaCart
This paper proposes a new data structure, called kdm tree, to address an ecient algorithm for solving the minima searching problem in multidimensional space, which has many applications in areas such as data mining and computational geometry. We will show that with kdm tree, not only minima
Partial match queries in relaxed multidimensional search trees
 Algorithmica
, 1998
"... Abstract. Partial match queries arise frequently in the context of large databases, where each record contains a distinct multidimensional key, that is, the key of each record is a Ktuple of values. The components of a key are called the coordinates or attributes of the key. In a partial match quer ..."
Abstract

Cited by 9 (2 self)
 Add to MetaCart
, will be different for different search paths. In the standard variants, the sequence of attributes that guides a query examines the attributes in a cyclic fashion, fixed and identical for all search paths. We show that the probabilistic analysis of the relaxed multidimensional trees is very similar
Selfadjusting binary search trees
, 1985
"... The splay tree, a selfadjusting form of binary search tree, is developed and analyzed. The binary search tree is a data structure for representing tables and lists so that accessing, inserting, and deleting items is easy. On an nnode splay tree, all the standard search tree operations have an am ..."
Abstract

Cited by 432 (18 self)
 Add to MetaCart
. Extensions of splaying give simplified forms of two other data structures: lexicographic or multidimensional search trees and link/ cut trees.
Rtrees: A Dynamic Index Structure for Spatial Searching
 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA
, 1984
"... In order to handle spatial data efficiently, as required in computer aided design and geodata applications, a database system needs an index mechanism that will help it retrieve data items quickly according to their spatial locations However, traditional indexing methods are not well suited to data ..."
Abstract

Cited by 2750 (0 self)
 Add to MetaCart
to data objects of nonzero size located m multidimensional spaces In this paper we describe a dynamic index structure called an Rtree which meets this need, and give algorithms for searching and updating it. We present the results of a series of tests which indicate that the structure performs well
Multidimensional Access Methods
, 1998
"... Search operations in databases require special support at the physical level. This is true for conventional databases as well as spatial databases, where typical search operations include the point query (find all objects that contain a given search point) and the region query (find all objects that ..."
Abstract

Cited by 686 (3 self)
 Add to MetaCart
Search operations in databases require special support at the physical level. This is true for conventional databases as well as spatial databases, where typical search operations include the point query (find all objects that contain a given search point) and the region query (find all objects
The KDB tree: A search structure for large multidimensional dynamic indexes
 IN PROC. SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA
, 1981
"... ..."
Depthfirst IterativeDeepening: An Optimal Admissible Tree Search
 Artificial Intelligence
, 1985
"... The complexities of various search algorithms are considered in terms of time, space, and cost of solution path. It is known that breadthfirst search requires too much space and depthfirst search can use too much time and doesn't always find a cheapest path. A depthfirst iteratiwdeepening a ..."
Abstract

Cited by 527 (24 self)
 Add to MetaCart
The complexities of various search algorithms are considered in terms of time, space, and cost of solution path. It is known that breadthfirst search requires too much space and depthfirst search can use too much time and doesn't always find a cheapest path. A depthfirst iteratiw
Mtree: An Efficient Access Method for Similarity Search in Metric Spaces
, 1997
"... A new access meth d, called Mtree, is proposed to organize and search large data sets from a generic "metric space", i.e. whE4 object proximity is only defined by a distance function satisfyingth positivity, symmetry, and triangle inequality postulates. We detail algorith[ for insertion o ..."
Abstract

Cited by 663 (38 self)
 Add to MetaCart
A new access meth d, called Mtree, is proposed to organize and search large data sets from a generic "metric space", i.e. whE4 object proximity is only defined by a distance function satisfyingth positivity, symmetry, and triangle inequality postulates. We detail algorith[ for insertion
The particel swarm: Explosion, stability, and convergence in a multidimensional complex space
 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTION
"... The particle swarm is an algorithm for finding optimal regions of complex search spaces through interaction of individuals in a population of particles. Though the algorithm, which is based on a metaphor of social interaction, has been shown to perform well, researchers have not adequately explained ..."
Abstract

Cited by 852 (10 self)
 Add to MetaCart
The particle swarm is an algorithm for finding optimal regions of complex search spaces through interaction of individuals in a population of particles. Though the algorithm, which is based on a metaphor of social interaction, has been shown to perform well, researchers have not adequately
Efficient similarity search in sequence databases
, 1994
"... We propose an indexing method for time sequences for processing similarity queries. We use the Discrete Fourier Transform (DFT) to map time sequences to the frequency domain, the crucial observation being that, for most sequences of practical interest, only the first few frequencies are strong. Anot ..."
Abstract

Cited by 515 (19 self)
 Add to MetaCart
. Another important observation is Parseval's theorem, which specifies that the Fourier transform preserves the Euclidean distance in the time or frequency domain. Having thus mapped sequences to a lowerdimensionality space by using only the first few Fourier coe cients, we use Rtrees to index
Results 1  10
of
11,559