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: Machine Learning and Its Applications
    sub title: Advanced Lectures
  name:
    name part: Paliouras, Georgios.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Karkaletsis, Vangelis.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Spyropoulos, Constantine D.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2001
    edition: 1st ed. 2001.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 324 p. online resource.
  abstract: In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.
  table of contents: Methods -- Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts -- Learning Patterns in Noisy Data: The AQ Approach -- Unsupervised Learning of Probabilistic Concept Hierarchies -- Function Decomposition in Machine Learning -- How to Upgrade Propositional Learners to First Order Logic: A Case Study -- Case-Based Reasoning -- Genetic Algorithms in Machine Learning -- Pattern Recognition and Neural Networks -- Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications -- Integrated Architectures for Machine Learning -- The Computational Support of Scientic Discovery -- Support Vector Machines: Theory and Applications -- Pre- and Post-processing in Machine Learning and Data Mining -- Machine Learning in Human Language Technology -- Machine Learning for Intelligent Information Access -- Machine Learning and Intelligent Agents -- Machine Learning in User Modeling -- Data Mining in Economics, Finance, and Marketing -- Machine Learning in Medical Applications -- Machine Learning Applications to Power Systems -- Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications.
  note: edited by Georgios Paliouras, Vangelis Karkaletsis, Constantine D. Spyropoulos.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Database management
  subject:
    topic: Information technology
  subject:
    topic: Business-Data processing
  subject:
    topic: User interfaces (Computer systems)
  subject:
    topic: Mathematical logic
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Database Management
  subject:
    topic: IT in Business
  subject:
    topic: User Interfaces and Human Computer Interaction
  subject:
    topic: Mathematical Logic and Formal Languages
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 2049
  identifier: 9783540446736
  identifier: https://doi.org/10.1007/3-540-44673-7
  record info:
    record creation date: 121227
    record change date: 20191025092456.0
    record identifier: 978-3-540-44673-6