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Data Science

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Table of Contents

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    Book Overview
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    Chapter 1 Streaming Methods in Data Analysis
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    Chapter 2 A Framework for Scalable Correlation of Spatio-temporal Event Data
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    Chapter 3 Towards More Data-Aware Application Integration
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    Chapter 4 Applying NoSQL Databases for Integrating Web Educational Stores - An Ontology-Based Approach
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    Chapter 5 Implementing Peer-to-Peer Semantic Integration of Linked Data
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    Chapter 6 Virtual Network Mapping: A Graph Pattern Matching Approach
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    Chapter 7 A Fast Approach for Detecting Overlapping Communities in Social Networks Based on Game Theory
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    Chapter 8 Data Science
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    Chapter 9 Query-Oriented Summarization of RDF Graphs
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    Chapter 10 Data Science
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    Chapter 11 Evaluation Measures for Event Detection Techniques on Twitter Data Streams
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    Chapter 12 A Framework for Selecting Deep Learning Hyper-parameters
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    Chapter 13 Using Virtual Meeting Structure to Support Summarisation
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    Chapter 14 NotaQL Is Not a Query Language! It’s for Data Transformation on Wide-Column Stores
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    Chapter 15 NoSQL Approach to Large Scale Analysis of Persisted Streams
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    Chapter 16 Horizontal Fragmentation and Replication for Multiple Relaxation Attributes
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    Chapter 17 Scalable Queries Over Log Database Collections
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    Chapter 18 ECST – Extended Context-Free Straight-Line Tree Grammars
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    Chapter 19 Configuring Spatial Grids for Efficient Main Memory Joins
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    Chapter 20 Transactional and Incremental Type Inference from Data Updates
Attention for Chapter 20: Transactional and Incremental Type Inference from Data Updates
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Chapter title
Transactional and Incremental Type Inference from Data Updates
Chapter number 20
Book title
Data Science
Published by
Springer, Cham, July 2015
DOI 10.1007/978-3-319-20424-6_20
Book ISBNs
978-3-31-920423-9, 978-3-31-920424-6
Authors

Yu Liu, Peter McBrien