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: 12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings
  name:
    name part: Sakai, Hiroshi.
    role:
      role term: editor.
  name:
    name part: Chakraborty, Mihir Kumar.
    role:
      role term: editor.
  name:
    name part: Hassanien, Aboul Ella.
    role:
      role term: editor.
  name:
    name part: Ślęzak, Dominik.
    role:
      role term: editor.
  name:
    name part: Zhu, William.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 528 p. online resource.
  abstract: This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009. RSFDGrC 2009 is the core component of a broader Rough Set Year in India initiative, RSIndia09. The 56 revised full papers presented together with 6 invited papers and a report on the Rough Set Year in India 2009 project were carefully reviewed and selected from a total of 130 submissions. The papers are organized in topical sections on foundations of rough sets and beyond; rought set algorithms and applications; fuzzy set foundations and applications; data mining and knowledge discovery; clustering and current trends in computing; and information retrieval and text mining.
  table of contents: Plenary Papers and Reports -- Affordance Relations -- Discovering Concurrent Process Models in Data: A Rough Set Approach -- Intelligent Science -- Pattern Structures for Analyzing Complex Data -- Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis -- Innovation Game as a Tool of Chance Discovery -- Rough Set Year in India 2009 -- Foundations of Rough Sets and Beyond -- An Algebraic Semantics for the Logic of Multiple-Source Approximation Systems -- Towards an Algebraic Approach for Cover Based Rough Semantics and Combinations of Approximation Spaces -- New Approach in Defining Rough Approximations -- Rough Set Approximations Based on Granular Labels -- On a Criterion of Similarity between Partitions Based on Rough Set Theory -- On Rough Sets with Structures and Properties -- A Formal Concept Analysis Approach to Rough Data Tables -- Covering Based Approaches to Rough Sets and Implication Lattices -- A Logical Reasoning System of Before-after Relation Based on Bf-EVALPSN -- Some Proof Theoretic Results Depending on Context from the Perspective of Graded Consequence -- Rough Set Algorithms and Applications -- IQuickReduct: An Improvement to Quick Reduct Algorithm -- Dynamic Reduct from Partially Uncertain Data Using Rough Sets -- Approximation of Loss and Risk in Selected Granular Systems -- An Efficient Gene Selection Algorithm Based on Tolerance Rough Set Theory -- Rough Set Based Social Networking Framework to Retrieve User-Centric Information -- Use of Fuzzy Rough Set Attribute Reduction in High Scent Web Page Recommendations -- A Rough Sets Approach for Personalized Support of Face Recognition -- Taking Fuzzy-Rough Application to Mars -- Rough Image Colour Quantisation -- of Speech (POS) Tag Sets Reduction and Analysis Using Rough Set Techniques -- Fuzzy Set Foundations and Applications -- More on Intuitionistic Fuzzy Soft Sets -- On Fuzzy Contra ?-Irresolute Maps -- On Fuzzy Strongly ?-I-Open Sets -- Lattice Structures of Rough Fuzzy Sets -- Analysis …
  note: edited by Hiroshi Sakai, Mihir Kumar Chakraborty, Aboul Ella Hassanien, Dominik Ślęzak, William Zhu.
  subject:
    topic: Computer science
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Discrete mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Discrete Mathematics
  subject:
    topic: Mathematics of Computing
  subject:
    topic: Database Management
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Information Storage and Retrieval
  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, 5908
  identifier: 9783642106460
  identifier: http://dx.doi.org/10.1007/978-3-642-10646-0
  record info:
    record creation date: 100301
    record change date: 20151204183042.0
    record identifier: 978-3-642-10646-0