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: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings
  name:
    name part: An, Aijun.
    role:
      role term: editor.
  name:
    name part: Stefanowski, Jerzy.
    role:
      role term: editor.
  name:
    name part: Ramanna, Sheela.
    role:
      role term: editor.
  name:
    name part: Butz, Cory J.
    role:
      role term: editor.
  name:
    name part: Pedrycz, Witold.
    role:
      role term: editor.
  name:
    name part: Wang, Guoyin.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 588 p. online resource.
  abstract: This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China.
  table of contents: Invited Papers -- Toward Rough-Granular Computing -- Data Clustering Algorithms for Information Systems -- From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery -- A New Algorithm for Attribute Reduction in Decision Tables -- Fuzzy-Rough Hybridization -- Algebraic Properties of Adjunction-Based Fuzzy Rough Sets -- Fuzzy Approximation Operators Based on Coverings -- Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets -- Determining Significance of Attributes in the Unified Rough Set Approach -- A Rough-Hybrid Approach to Software Defect Classification -- Vaguely Quantified Rough Sets -- Fuzzy Sets -- A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch -- A Fuzzy Group Decision Approach to Real Option Valuation -- Fuzzifying Closure Systems and Fuzzy Lattices -- Evolution of Fuzzy System Models: An Overview and New Directions -- Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure -- A New Classifier Design with Fuzzy Functions -- Soft Computing in Medical Image Processing -- Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features -- Nucleus Segmentation and Recognition of Uterine Cervical Pap-Smears -- A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing -- Ischemic Stroke Modeling: Multiscale Extraction of Hypodense Signs -- Soft Computing in Information Retrieval -- Supporting Literature Exploration with Granular Knowledge Structures -- Ordinal Credibility Coefficient – A New Approach in the Data Credibility Analysis -- FuzzyPR: An Effective Passage Retrieval System for QAS -- Clustering -- Parallel Artificial Immune Clustering Algorithm Based on Granular Computing -- C-DBSCAN: Density-Based Clustering with Constraints -- A New Cluster Based Fuzzy Model Tree for Data Modeling -- Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Locatio…
  note: edited by Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Mathematical logic
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Theory of Computation
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Database Management
  subject:
    topic: Mathematical Logic and Formal Languages
  subject:
    topic: Computation by Abstract Devices
  classification: QA75.5-76.95
  classification: 004.0151
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 4482
  identifier: 9783540725305
  identifier: http://dx.doi.org/10.1007/978-3-540-72530-5
  record info:
    record creation date: 100301
    record change date: 20170130152306.0
    record identifier: 978-3-540-72530-5