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Journal ArticleDOI

Some approaches to best-match file searching

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TLDR
Three file structures are presented together with their corresponding search algorithms, which are intended to reduce the number of comparisons required to achieve the desired result.
Abstract
The problem of searching the set of keys in a file to find a key which is closest to a given query key is discussed. After “closest,” in terms of a metric on the the key space, is suitably defined, three file structures are presented together with their corresponding search algorithms, which are intended to reduce the number of comparisons required to achieve the desired result. These methods are derived using certain inequalities satisfied by metrics and by graph-theoretic concepts. Some empirical results are presented which compare the efficiency of the methods.

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Proceedings Article

Finding Motifs in Time Series

Jessica Lin
TL;DR: An efficient motif discovery algorithm for time series would be useful as a tool for summarizing and visualizing massive time series databases and could be used as a subroutine in various other data mining tasks, including the discovery of association rules, clustering and classification.
Journal ArticleDOI

Index-driven similarity search in metric spaces (Survey Article)

TL;DR: This article focuses on methods for similarity search that make the general assumption that similarity is represented with a distance metric d, and presents algorithms for common types of queries that operate on an arbitrary "search hierarchy."
Proceedings ArticleDOI

Distance-based indexing for high-dimensional metric spaces

TL;DR: This paper introduces a distance based index structure called multi-vantage point (mvp) tree for similarity queries on high-dimensional metric spaces and shows that mvp-tree outperforms the vp-tree 20% to 80% for varying query ranges and different distance distributions.
Journal ArticleDOI

On k-Nearest Neighbor Voronoi Diagrams in the Plane

TL;DR: It is shown that the k-nearest neighbor problem and other seemingly unrelated problems can be solved efficiently with the Voronoi diagram.
References
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Book

Perceptrons: An Introduction to Computational Geometry

TL;DR: The aim of this book is to seek general results from the close study of abstract version of devices known as perceptrons.
Book

Shift register sequences

TL;DR: The Revised Edition of Shift Register Sequences contains a comprehensive bibliography of some 400 entries which cover the literature concerning the theory and applications of shift register sequences.
Journal ArticleDOI

An Analysis of Some Graph Theoretical Cluster Techniques

TL;DR: Several graph theoretic cluster techniques aimed at the automatic generation of thesauri for information retrieval systems are explored and two algorithms have been tested that find maximal complete subgraphs.
Journal ArticleDOI

Scatter storage techniques

TL;DR: L'article donne une presentation didactique sur les methodes connues utilisees par ceux qui ecrivent les assembleurs and compilateurs de maniere a reduire les temps de recherche dans les tables de symboles.
Journal ArticleDOI

Corrections to Bierstone's Algorithm for Generating Cliques

TL;DR: The counterexamples to their and the modified version of the Bierstone algorithm for finding the set of cliques of a finite undirected linear graph are presented.
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