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Similarity Search and Applications

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Cover of 'Similarity Search and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fast Locality-Sensitive Hashing Frameworks for Approximate Near Neighbor Search
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    Chapter 2 Storing Data Once in M-tree and PM-tree
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    Chapter 3 Index Maintenance Strategy and Cost Model for Extended Cluster Pruning
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    Chapter 4 SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search
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    Chapter 5 Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines
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    Chapter 6 k-Distance Approximation for Memory-Efficient RkNN Retrieval
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    Chapter 7 Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study
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    Chapter 8 Non-metric Similarity Search Using Genetic TriGen
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    Chapter 9 Privacy–Preserving Text Similarity via Non-Prefix-Free Codes
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    Chapter 10 Explainable Similarity of Datasets Using Knowledge Graph
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    Chapter 11 The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search
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    Chapter 12 Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs
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    Chapter 13 Indexability-Based Dataset Partitioning
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    Chapter 14 Permutation’s Signatures for Proximity Searching in Metric Spaces
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    Chapter 15 A k –Skyband Approach for Feature Selection
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    Chapter 16 Faster k -Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
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    Chapter 17 MORe++: k-Means Based Outlier Removal on High-Dimensional Data
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    Chapter 18 A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams
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    Chapter 19 Similarity Grouping in Big Data Systems
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    Chapter 20 SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge
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    Chapter 21 Query Filtering with Low-Dimensional Local Embeddings
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    Chapter 22 Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis
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    Chapter 23 Metric Embedding into the Hamming Space with the n-Simplex Projection
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    Chapter 24 On coMADs and Principal Component Analysis
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    Chapter 25 Subspace Determination Through Local Intrinsic Dimensional Decomposition
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    Chapter 26 Leveraging Feature Similarity for Earlier Detection of Unwanted Feature Interactions in Evolving Software Product Lines
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    Chapter 27 Protein Complex Similarity Based on Weisfeiler-Lehman Labeling
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    Chapter 28 Multiple Instance Classification in the Image Domain
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    Chapter 29 An Image Retrieval System for Video
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    Chapter 30 Towards Automatic Configuration of Interactive Known-Item Search Systems
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    Chapter 31 ADAMiSS: Advanced Data Analysis, Mining and Search, System
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    Chapter 32 Feature Similarity: A Method to Detect Unwanted Feature Interactions Earlier in Software Product Lines
Attention for Chapter 10: Explainable Similarity of Datasets Using Knowledge Graph
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Chapter title
Explainable Similarity of Datasets Using Knowledge Graph
Chapter number 10
Book title
Similarity Search and Applications
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-32047-8_10
Book ISBNs
978-3-03-032046-1, 978-3-03-032047-8

Petr Škoda, Jakub Klímek, Martin Nečaský, Tomáš Skopal

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 2 100%