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: Intelligent Data Engineering and Automated Learning – IDEAL 2010
    sub title: 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings
  name:
    name part: Fyfe, Colin.
    role:
      role term: editor.
  name:
    name part: Tino, Peter.
    role:
      role term: editor.
  name:
    name part: Charles, Darryl.
    role:
      role term: editor.
  name:
    name part: Garcia-Osorio, Cesar.
    role:
      role term: editor.
  name:
    name part: Yin, Hujun.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 398 p. 134 illus. online resource.
  abstract: The IDEAL conference has become a unique, established and broad interdisciplinary forum for experts, researchers and practitioners in many fields to interact with each other and with leading academics and industries in the areas of machine learning, information processing, data mining, knowledge management, bio-informatics, neu- informatics, bio-inspired models, agents and distributed systems, and hybrid systems. This volume contains the papers presented at the 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2010), which was held September 1–3, 2010 in the University of the West of Scotland, on its Paisley campus, 15 kilometres from the city of Glasgow, Scotland. All submissions were strictly pe- reviewed by the Programme Committee and only the papers judged with sufficient quality and novelty were accepted and included in the proceedings. The IDEAL conferences continue to evolve and this year’s conference was no exc- tion. The conference papers cover a wide variety of topics which can be classified by technique, aim or application. The techniques include evolutionary algorithms, artificial neural networks, association rules, probabilistic modelling, agent modelling, particle swarm optimization and kernel methods. The aims include regression, classification, clustering and generic data mining. The applications include biological information processing, text processing, physical systems control, video analysis and time series analysis.
  table of contents: Large Scale Instance Selection by Means of a Parallel Algorithm -- Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection -- Generalized Derivative Based Kernelized Learning Vector Quantization -- Cost Optimization of a Localized Irrigation System Using Genetic Algorithms -- Dimension Reduction for Regression with Bottleneck Neural Networks -- Analysing Satellite Image Time Series by Means of Pattern Mining -- Sentences Generation by Frequent Parsing Patterns -- Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model -- On the Power of Topological Kernel in Microarray-Based Detection of Cancer -- An Evolutionary Multi-objective Optimization of Market Structures Using PBIL -- New Application of Graph Mining to Video Analysis -- Classification by Multiple Reducts-kNN with Confidence -- Towards Automatic Classification of Wikipedia Content -- Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data -- A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm -- Simplified Self-Adapting Skip Lists -- Multi-Agent Architecture with Support to Quality of Service and Quality of Control -- Robust 1-Norm Soft Margin Smooth Support Vector Machine -- A Generalization of Independence in Naive Bayes Model -- Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification -- Histogram Distance for Similarity Search in Large Time Series Database -- The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces -- Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains -- The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach -- Privacy Preserving Technique for Euclidean Distance Based Mining Algorithms Using a Wavelet Related Transform -- Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System -- …
  note: edited by Colin Fyfe, Peter Tino, Darryl Charles, Cesar Garcia-Osorio, Hujun Yin.
  subject:
    topic: Computer science
  subject:
    topic: Computer programming
  subject:
    topic: Computers
  subject:
    topic: Database management
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Programming Techniques
  subject:
    topic: Database Management
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Computation by Abstract Devices
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 6283
  identifier: 9783642153815
  identifier: http://dx.doi.org/10.1007/978-3-642-15381-5
  record info:
    record creation date: 100821
    record change date: 20151204152054.0
    record identifier: 978-3-642-15381-5