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Intelligence and Security Informatics

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Cover of 'Intelligence and Security Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 The Use of Reference Graphs in the Entity Resolution of Criminal Networks
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    Chapter 2 Heterogeneous Information Networks Bi-clustering with Similarity Regularization
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    Chapter 3 A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages
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    Chapter 4 Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank
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    Chapter 5 Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data
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    Chapter 6 Revisiting Attribute Independence Assumption in Probabilistic Unsupervised Anomaly Detection
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    Chapter 7 Incremental Privacy-Preserving Association Rule Mining Using Negative Border
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    Chapter 8 Differentially Private Multi-task Learning
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    Chapter 9 Intelligent Recognition of Spontaneous Expression Using Motion Magnification of Spatio-temporal Data
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    Chapter 10 k-NN Classification of Malware in HTTPS Traffic Using the Metric Space Approach
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    Chapter 11 A Syntactic Approach for Detecting Viral Polymorphic Malware Variants
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    Chapter 12 Small State Acquisition of Offensive Cyberwarfare Capabilities: Towards Building an Analytical Framework
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    Chapter 13 Data-Driven Stealthy Injection Attacks on Smart Grid with Incomplete Measurements
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    Chapter 14 Information Security in Software Engineering, Analysis of Developers Communications About Security in Social Q&A Website
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Citations

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1 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Intelligence and Security Informatics
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-31863-9
ISBNs
978-3-31-931862-2, 978-3-31-931863-9
Editors

Michael Chau, G. Alan Wang, Hsinchun Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 4%
Unknown 24 96%
Readers by discipline Count As %
Engineering 1 4%
Unknown 24 96%