rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Artificial Immune Systems
    sub title: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012. Proceedings
  name:
    name part: Coello Coello, Carlos A.
    role:
      role term: editor.
  name:
    name part: Greensmith, Julie.
    role:
      role term: editor.
  name:
    name part: Krasnogor, Natalio.
    role:
      role term: editor.
  name:
    name part: Liò, Pietro.
    role:
      role term: editor.
  name:
    name part: Nicosia, Giuseppe.
    role:
      role term: editor.
  name:
    name part: Pavone, Mario.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 293 p. 84 illus. online resource.
  abstract: This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012. The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
  table of contents: Face Recognition by Searching Most Similar Sample with Immune Learning -- A Multi-Objective Artificial Immune System Based on Hypervolume -- A Comparative Study of Negative Selection Based Anomaly Detection in Sequence Data -- Immune-Inspired Self Healing in Wireless Sensor Networks -- A Beginner’s Guide to Systems Simulation in Immunology -- Clustering-Based Multi-objective Immune Optimization Evolutionary Algorithm -- Petri Nets Approach to Modeling of Immune System and Autism -- Mathematical Implementation of Interation between Malaria and Immune System -- Computing Longest Common Subsequences with the B-Cell Algorithm -- Bait a Trap: Introducing Natural Killer Cells to Artificial Immune System for Spyware Detection -- AC-CS: An Immune-Inspired Associative Classification Algorithm -- RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithm Based on Rough Set Theory -- Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Exchangers -- A Negative Selection Approach to Intrusion Detection -- Clonal Expansion without Self-replicating Entities -- A Real Time Anomaly Detection System Based on Probabilistic Artificial Immune Systems -- CSA/IE: Novel Clonal Selection Algorithm with Information Exchange for High Dimensional Global Optimization Problems -- An Ecological Approach to Anomaly Detection: The EIA Model -- Rethinking Concepts of the Dendritic Cell Algorithm for Multiple Data Stream Analysis -- Stability-Based Model Selection for High Throughput Genomic Data: An Algorithmic Paradigm -- Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks -- Distributed Computing with Prokaryotic Immune Systems -- The Immune System as a Metaphor for Topology Driven Patterns Formation in Complex Systems.
  note: edited by Carlos A. Coello Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer simulation
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Pattern Recognition
  subject:
    topic: Information Systems Applications (incl. Internet)
  classification: QA76.9.C65
  classification: 003.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 7597
  identifier: 9783642337574
  identifier: http://dx.doi.org/10.1007/978-3-642-33757-4
  record info:
    record creation date: 120824
    record change date: 20151029211802.0
    record identifier: 978-3-642-33757-4