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: Transactions on Rough Sets IV
  name:
    name part: Peters, James F.
    role:
      role term: editor.
  name:
    name part: Skowron, Andrzej.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 378 p. online resource.
  abstract: Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide. A total of 16 researchers from 7 countries are represented in this volume, namely, Canada, India, Norway, S- den, Poland, Russia and the United States of America. Evidence of the vigor, breadth and depth of research in the theory and applications of rough sets can be found in the 10 articles in this volume. Prof. Pawlak has contributed a treatise on the philosophical underpinnings of rough sets. In this treatise, observations are made about the Cantor notion of a set, antinomies arising from Cantor sets, the problem of vagueness (es- cially, vague (imprecise) concepts), fuzzy sets, rough sets, fuzzy vs. rough sets as well as logic and rough sets. Among the many vistas and research directions suggested by Prof. Pawlak, one of the most fruitful concerns the model for a rough membership function, which was incarnated in many di?erent forms since its introduction by Pawlakand Skowronin 1994. Recall, here, that Prof.
  table of contents: Regular Papers -- A Treatise on Rough Sets -- On Optimization of Decision Trees -- Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories -- Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation -- Supervised Learning in the Gene Ontology Part I: A Rough Set Framework -- Supervised Learning in the Gene Ontology Part II: A Bottom-Up Algorithm -- Comparative Analysis of Deterministic and Nondeterministic Decision Tree Complexity Local Approach -- A Fast Host-Based Intrusion Detection System Using Rough Set Theory -- Incremental Learning and Evaluation of Structures of Rough Decision Tables -- Dissertations and Monographs -- A Framework for Reasoning with Rough Sets -- Analogy-Based Reasoning in Classifier Construction.
  note: edited by James F. Peters, Andrzej Skowron.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Mathematical logic
  subject:
    topic: Database management
  subject:
    topic: Artificial intelligence
  subject:
    topic: Image processing
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Mathematical Logic and Formal Languages
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Database Management
  subject:
    topic: Image Processing and Computer Vision
  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, 3700
  identifier: 9783540320166
  identifier: http://dx.doi.org/10.1007/11574798
  record info:
    record creation date: 100316
    record change date: 20151204143601.0
    record identifier: 978-3-540-32016-6