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Modeling Decisions for Artificial Intelligence

Overview of attention for book
Cover of 'Modeling Decisions for Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Provenance and Privacy
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    Chapter 2 Comparison of Risk Averse Utility Functions on Two-Dimensional Regions
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    Chapter 3 Symmetrization Methods for Aggregation Functions
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    Chapter 4 Event-Based Transformations of Capacities
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    Chapter 5 Pan-Integrals Based on Optimal Measures
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    Chapter 6 Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals
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    Chapter 7 $$L_1$$ -space for Sugeno Integral
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    Chapter 8 An Adaptation of the ML-kNN Algorithm to Predict the Number of Classes in Hierarchical Multi-label Classification
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    Chapter 9 On Fuzzy Clustering for Categorical Multivariate Data Induced by Polya Mixture Models
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    Chapter 10 Comparison of Fuzzy Co-clustering Methods in Collaborative Filtering-Based Recommender System
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    Chapter 11 Differentially Private Data Sets Based on Microaggregation and Record Perturbation
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    Chapter 12 A Methodology to Compare Anonymization Methods Regarding Their Risk-Utility Trade-off
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    Chapter 13 Session-Based Network Intrusion Detection Using a Deep Learning Architecture
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    Chapter 14 A Hybrid Model of ARIMA and ANN with Discrete Wavelet Transform for Time Series Forecasting
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    Chapter 15 A Novel Hybrid Model for Activity Recognition
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    Chapter 16 Constructing Document Vectors Using Kernel Density Estimates
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    Chapter 17 On Cell Detection System with User Interaction
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    Chapter 18 A Fuzzy Colour Model Sensitive to the Context: Study Cases Using PRAGR and Logics
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    Chapter 19 Joint Subjective Opinions
Attention for Chapter 13: Session-Based Network Intrusion Detection Using a Deep Learning Architecture
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Citations

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Chapter title
Session-Based Network Intrusion Detection Using a Deep Learning Architecture
Chapter number 13
Book title
Modeling Decisions for Artificial Intelligence
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-67422-3_13
Book ISBNs
978-3-31-967421-6, 978-3-31-967422-3
Authors

Yang Yu, Jun Long, Zhiping Cai

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 5 14%
Professor > Associate Professor 3 8%
Lecturer 2 6%
Researcher 2 6%
Other 4 11%
Unknown 12 33%
Readers by discipline Count As %
Computer Science 21 58%
Engineering 2 6%
Mathematics 1 3%
Unknown 12 33%

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