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Similarity Search and Applications

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Table of Contents

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    Book Overview
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    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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