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: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
    sub title: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part II
  name:
    name part: Ślęzak, Dominik.
    role:
      role term: editor.
  name:
    name part: Yao, JingTao.
    role:
      role term: editor.
  name:
    name part: Peters, James F.
    role:
      role term: editor.
  name:
    name part: Ziarko, Wojciech.
    role:
      role term: editor.
  name:
    name part: Hu, Xiaohua.
    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: XXIV, 748 p. online resource.
  abstract: This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.
  table of contents: Invited Papers -- Rough Set Software -- Data Mining -- Hybrid and Hierarchical Methods -- Information Retrieval -- Image Recognition and Processing -- Multimedia Applications -- Medical Applications -- Bioinformatic Applications -- Web Content Analysis -- Business Applications -- Security Applications -- Industrial Applications -- Embedded Systems and Networking -- Intelligent and Sapient Systems.
  note: edited by Dominik Ślęzak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Mathematical logic
  subject:
    topic: Database management
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Database Management
  subject:
    topic: Mathematical Logic and Formal Languages
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Pattern Recognition
  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, 3642
  identifier: 9783540318248
  identifier: http://dx.doi.org/10.1007/11548706
  record info:
    record creation date: 100725
    record change date: 20151123192206.0
    record identifier: 978-3-540-31824-8