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Artificial Immune Systems

Overview of attention for book
Cover of 'Artificial Immune Systems'

Table of Contents

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    Book Overview
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    Chapter 1 A Stochastic Model of the Interleukin (IL)-1 β Network
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    Chapter 2 Modelling the Tunability of Early T Cell Signalling Events
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    Chapter 3 Immune Responses: A Stochastic Model
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    Chapter 4 Adaptive Spam Detection Inspired by a Cross-Regulation Model of Immune Dynamics: A Study of Concept Drift
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    Chapter 5 MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization
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    Chapter 6 An Advanced Clonal Selection Algorithm with Ad-Hoc Network-Based Hypermutation Operators for Synthesis of Topology and Sizing of Analog Electrical Circuits
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    Chapter 7 A Multi-Objective Multipopulation Approach for Biclustering
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    Chapter 8 Viral System to Solve Optimization Problems: An Immune-Inspired Computational Intelligence Approach
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    Chapter 9 Computing the State of Specknets: Further Analysis of an Innate Immune-Inspired Model
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    Chapter 10 A Hybrid Model for Immune Inspired Network Intrusion Detection
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    Chapter 11 Credit Card Fraud Detection with Artificial Immune System
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    Chapter 12 Artificial Immune Recognition System with Nonlinear Resource Allocation Method and Application to Traditional Malay Music Genre Classification
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    Chapter 13 Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows
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    Chapter 14 Evaluation and Extension of the AISEC Email Classification System
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    Chapter 15 Dynamic Polymorphic Agents Scheduling and Execution Using Artificial Immune Systems
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    Chapter 16 AIS-Based Bootstrapping of Bayesian Networks for Identifying Protein Energy Route
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    Chapter 17 A Neuro-Immune Inspired Robust Real Time Visual Tracking System
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    Chapter 18 Artificial Immune Systems
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    Chapter 19 A Neuro-Immune Algorithm to Solve the Capacitated Vehicle Routing Problem
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    Chapter 20 Improving Artificial Immune System Performance: Inductive Bias and Alternative Mutations
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    Chapter 21 Flexible Immune Network Recognition System for Mining Heterogeneous Data
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    Chapter 22 An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction
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    Chapter 23 Optimization of Steel Catenary Risers for Offshore Oil Production Using Artificial Immune System
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    Chapter 24 Artificial Immune Systems
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    Chapter 25 Conserved Self Pattern Recognition Algorithm
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    Chapter 26 The Deterministic Dendritic Cell Algorithm
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    Chapter 27 Artificial Immune Systems and Kernel Methods
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    Chapter 28 Boosting the Immune System
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    Chapter 29 The Limitations of Frequency Analysis for Dendritic Cell Population Modelling
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    Chapter 30 Empirical Investigation of an Artificial Cytokine Network
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    Chapter 31 An Empirical Study of Self/Non-self Discrimination in Binary Data with a Kernel Estimator
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    Chapter 32 The Pathways of Complement
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    Chapter 33 Adaptable Lymphocytes for Artificial Immune Systems
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    Chapter 34 On the Relevance of Cellular Signaling Pathways for Immune-Inspired Algorithms
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    Chapter 35 AIS Based Distributed Wireless Sensor Network for Mobile Search and Rescue Robot Tracking
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    Chapter 36 Eating Data Is Good for Your Immune System: An Artificial Metabolism for Data Clustering Using Systemic Computation
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    Chapter 37 An Immune System Based Multi-robot Mobile Agent Network
Attention for Chapter 10: A Hybrid Model for Immune Inspired Network Intrusion Detection
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Citations

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Chapter title
A Hybrid Model for Immune Inspired Network Intrusion Detection
Chapter number 10
Book title
Artificial Immune Systems
Published by
Springer, Berlin, Heidelberg, August 2008
DOI 10.1007/978-3-540-85072-4_10
Book ISBNs
978-3-54-085071-7, 978-3-54-085072-4
Authors

Robert L. Fanelli, Fanelli, Robert L.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 8%
Brazil 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 62%
Researcher 2 15%
Student > Bachelor 1 8%
Student > Master 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Readers by discipline Count As %
Computer Science 10 77%
Engineering 3 23%

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