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Artificial Immune Systems

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Cover of 'Artificial Immune Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Did Germinal Centers Evolve Under Differential Effects of Diversity vs Affinity?
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    Chapter 2 Modelling the Control of an Immune Response Through Cytokine Signalling
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    Chapter 3 Modeling Influenza Viral Dynamics in Tissue
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    Chapter 4 Cellular Frustration: A New Conceptual Framework for Understanding Cell-Mediated Immune Responses
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    Chapter 5 The Swarming Body: Simulating the Decentralized Defenses of Immunity
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    Chapter 6 Analysis of a Growth Model for Idiotypic Networks
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    Chapter 7 Randomly Evolving Idiotypic Networks: Analysis of Building Principles
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    Chapter 8 The Idiotypic Network with Binary Patterns Matching
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    Chapter 9 Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network
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    Chapter 10 On Permutation Masks in Hamming Negative Selection
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    Chapter 11 Gene Libraries: Coverage, Efficiency and Diversity
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    Chapter 12 Immune System Modeling: The OO Way
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    Chapter 13 A Computational Model of Degeneracy in a Lymph Node
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    Chapter 14 Structural Properties of Shape-Spaces
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    Chapter 15 Integrating Innate and Adaptive Immunity for Intrusion Detection
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    Chapter 16 A Comparative Study on Self-tolerant Strategies for Hardware Immune Systems
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    Chapter 17 On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions
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    Chapter 18 A Heuristic Detector Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rule
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    Chapter 19 A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease
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    Chapter 20 Recognition of Handwritten Indic Script Using Clonal Selection Algorithm
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    Chapter 21 Diophantine Benchmarks for the B-Cell Algorithm
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    Chapter 22 A Population Adaptive Based Immune Algorithm for Solving Multi-objective Optimization Problems
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    Chapter 23 omni-aiNet: An Immune-Inspired Approach for Omni Optimization
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    Chapter 24 Immune Procedure for Optimal Scheduling of Complex Energy Systems
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    Chapter 25 Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators
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    Chapter 26 Controlling the Heating System of an Intelligent Home with an Artificial Immune System
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    Chapter 27 Don’t Touch Me, I’m Fine: Robot Autonomy Using an Artificial Innate Immune System
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    Chapter 28 Price Trackers Inspired by Immune Memory
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    Chapter 29 Theoretical Basis of Novelty Detection in Time Series Using Negative Selection Algorithms
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    Chapter 30 Danger Is Ubiquitous: Detecting Malicious Activities in Sensor Networks Using the Dendritic Cell Algorithm
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    Chapter 31 Articulation and Clarification of the Dendritic Cell Algorithm
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    Chapter 32 Immune-Inspired Adaptive Information Filtering
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    Chapter 33 An Immune Network for Contextual Text Data Clustering
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    Chapter 34 An Immunological Filter for Spam
Attention for Chapter 29: Theoretical Basis of Novelty Detection in Time Series Using Negative Selection Algorithms
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Chapter title
Theoretical Basis of Novelty Detection in Time Series Using Negative Selection Algorithms
Chapter number 29
Book title
Artificial Immune Systems
Published by
Springer, Berlin, Heidelberg, September 2006
DOI 10.1007/11823940_29
Book ISBNs
978-3-54-037749-8, 978-3-54-037751-1
Authors

Rafał Pasek, Pasek, Rafał