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  1. International Workshop on Similarity Search and Applications, SISAP.
  2. First International Workshop on Similarity Search and Applications (sisap 2008)
  3. On Reinsertions in M-tree
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2009 Second International Workshop on Similarity Search and Applications
First International Workshop on Similarity Search and Applications (sisap 2008)
Table of contents
Foreword
Preface
Organizing and Program Committees
External reviewers
Evolving Models of Biological Sequence Similarity
The Many Facets of Approximate Similarity Search
HiPeR: Hierarchical Progressive Exact Retrieval in Multidimensional Spaces
High-Dimensional Similarity Retrieval Using Dimensional Choice
Approximate Similarity Search in Genomic Sequence Databases Using Landmark-Guided Embedding
Visual Similarity in Sign Language
A Contextual Normalised Edit Distance
Counting Distance Permutations
Combining Metric Features in Large Collections
Similarity Searching: Towards Bulk-Loading Peer-to-Peer Networks
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
A Dynamic Pivot Selection Technique for Similarity Search
Effective Use of Space for Pivot-Based Metric Indexing Structures
On Reinsertions in M-tree
List of Twin Clusters: A Data Structure for Similarity Joins in Metric Spaces
Anytime K-Nearest Neighbor Search for Database Applications
On the Complexity of Reverse Similarity Search
Author index

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On Reinsertions in M-tree

Content Provider IEEE Xplore Digital Library
Author Lokoc, J. Skopal, T.
Copyright Year 2008
Description Author affiliation: Charles Univ. in Prague, Prague (Lokoc, J.)
Abstract In this paper we introduce a new M-tree building method, utilizing the classic idea of forced reinsertions. In case a leaf is about to split, some distant objects are removed from the leaf (reducing the covering radius), and then again inserted into the M-tree in a usual way. A regular leaf split is performed only after a series of unsuccessful reinsertion attempts. We expect the forced reinsertions will result in more compact M- tree hierarchies (i.e., more efficient query processing), while the index construction costs should be kept as low as possible. Considering both low construction costs and low querying costs, we examine several combinations of construction policies with reinsertions. The experiments show that forced reinsertions could significantly decrease the number of distance computations, thus speeding up indexing as well as querying.
Starting Page 121
Ending Page 128
File Size 553635
Page Count 8
File Format PDF
ISBN 0769531016
DOI 10.1109/SISAP.2008.10
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2008-04-11
Publisher Place UK
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Biometrics Costs forced reinsertions Query processing Multimedia databases Routing Data structures Information retrieval M-tree Application software Indexing Software engineering
Content Type Text
Resource Type Article
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