Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their similarity, functional adjacency, indistinguishability, coherency, or the like.

PropertyValue
p:abstract
  • Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their similarity, functional adjacency, indistinguishability, coherency, or the like. At present, granular computing is more a theoretical perspective than a coherent set of methods or principles. As a theoretical perspective, it encourages an approach to data that recognizes and exploits the knowledge present in data at various levels of resolution or scales. In this sense, it encompasses all methods which provide flexibility and adaptability in the resolution at which knowledge or information is extracted and represented. (en)
p:chapter
  • A context-sensitive discretization of numeric attributes for classification learning (en)
  • A latent variable model for multivariate discretization (en)
  • Aggregation of variables in dynamic systems (en)
  • Compression-based discretization of continuous attributes (en)
  • Concurrent discretization of multiple attributes (en)
  • Discretization methods in data mining (en)
  • Discretization of continuous attributes for learning classification rules (en)
  • Hierarchical maximum entropy discretization (en)
  • Information discovery through hierarchical maximum entropy discretization and synthesis (en)
  • Multi-interval discretization of continuous-valued attributes for classification learning (en)
  • On changing continuous attributes into ordered discrete attributes (en)
  • Relative unsupervised discretization for association rule mining (en)
  • Supervised and unsupervised discretization of continuous features (en)
  • The architecture of complexity: Hierarchic systems (en)
p:edition
  • 2 (xsd:integer)
p:editor
  • A. G. Cohn (en)
  • Albert Ando, Franklin M. Fisher, & Herbert A. Simon (en)
  • Armand Prieditis & Stuart Russell (en)
  • Djamel A. Zighed, Jan Komorowski & Jan Zytkow (en)
  • Gregory Piatetsky-Shapiro & William J. Frawley (en)
  • Herbert A. Simon (en)
  • Lech Polkowski & Andrzej Skowron (en)
  • Ning Zhong & Lizhu Zhou (en)
  • Ryszard Janicki & Waldemar W. Koczkodaj (en)
  • Springer (en)
  • Y. Kodratoff (en)
  • edited volume (en)
p:given
  • Aijun (en)
  • Albert (en)
  • Alexander (en)
  • Alvin C. (en)
  • Andrew K. C. (en)
  • Benny (en)
  • Bernhard (en)
  • Bing (en)
  • Changhwan (en)
  • Chew Lim (en)
  • D. A. (en)
  • David G. (en)
  • David K. Y. (en)
  • Dong-Guk (en)
  • Eibe (en)
  • Farhad (en)
  • Gerhard (en)
  • Gregory F. (en)
  • Harald (en)
  • Herbert A. (en)
  • Huan (en)
  • Hung Son (en)
  • Ian H. (en)
  • J. (en)
  • James (en)
  • Jerome (en)
  • Jerzy (en)
  • Jerzy W. (en)
  • Kai Ming (en)
  • Ke (en)
  • Keki B. (en)
  • Manoranjan (en)
  • Marcus-Christopher (en)
  • Mehran (en)
  • Michal R. (en)
  • Nick (en)
  • Peter (en)
  • Peter E. (en)
  • R. (en)
  • Ralph G. (en)
  • Richard O. (en)
  • Robert (en)
  • Ron (en)
  • S. (en)
  • Satosi (en)
  • Sinh Hoa (en)
  • Stefano (en)
  • Stephen D. (en)
  • Trevor (en)
  • Usama M. (en)
p:harvProperty
  • Andrzejak (en)
  • Grassberger (en)
  • Kraskov (en)
  • Stögbauer (en)
  • 2003 (xsd:integer)
p:harvnbProperty
  • Duda (en)
  • Hart (en)
  • Rencher (en)
  • Stork (en)
  • Watanabe (en)
  • 1960 (xsd:integer)
  • 1969 (xsd:integer)
  • 2001 (xsd:integer)
  • 2002 (xsd:integer)
p:harvtxtProperty
  • An (en)
  • Bay (en)
  • Catlett (en)
  • Cercone (en)
  • Cheung (en)
  • Chiu (en)
  • Chmielewski (en)
  • Cooper (en)
  • Dasii (en)
  • Dougherty (en)
  • Duda (en)
  • Fayyad (en)
  • Frank (en)
  • Friedman (en)
  • Grzymala-Busse (en)
  • Hart (en)
  • Hastie (en)
  • Hussain (en)
  • Irani (en)
  • Kohavi (en)
  • Lee (en)
  • Liu (en)
  • Ludl (en)
  • Monti (en)
  • Nguyen (en)
  • Pfahringer (en)
  • Rabaséda (en)
  • Rakotomalala (en)
  • Sahami (en)
  • Shin (en)
  • Stefanowski (en)
  • Stork (en)
  • Tan (en)
  • Tibshirani (en)
  • Ting (en)
  • Wang (en)
  • Widmer (en)
  • Witten (en)
  • Wong (en)
  • Zighed (en)
  • 1989 (xsd:integer)
  • 1990 (xsd:integer)
  • 1991 (xsd:integer)
  • 1993 (xsd:integer)
  • 1994 (xsd:integer)
  • 1995 (xsd:integer)
  • 1996 (xsd:integer)
  • 1998 (xsd:integer)
  • 1999 (xsd:integer)
  • 2000 (xsd:integer)
  • 2001 (xsd:integer)
  • 2002 (xsd:integer)
  • 2005 (xsd:integer)
p:hasPhotoCollection
p:issue
  • 1 (xsd:integer)
  • 3 (xsd:integer)
  • 4 (xsd:integer)
p:journal
  • Data Mining and Knowledge Discovery (en)
  • IBM Journal of Research and Development (en)
  • International Journal of Approximate Reasoning (en)
  • International Journal of Intelligent Systems (en)
  • International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (en)
  • Journal of Experimental and Theoretical Artificial Intelligence (en)
  • Knowledge and Information Systems (en)
  • q-bio.QM/0311039 manuscript (en)
p:page
  • 117–129 (en)
  • 29–38 (en)
  • 307–326 (en)
  • 319–331 (en)
  • 393–423 (en)
  • 491–512 (en)
  • 66–82 (en)
p:pages
  • 1022–1027 (en)
  • 126–140 (en)
  • 148–158 (en)
  • 164–178 (en)
  • 183-216 (en)
  • 194–202 (en)
  • 237–242 (en)
  • 250–259 (en)
  • 428–432 (en)
  • 451–482 (en)
  • 456–463 (en)
  • 509–514 (en)
  • 64-91 (en)
p:place
p:publisher
  • Basser Department of Computer Science (en)
  • John Wiley & Sons (en)
  • MIT Press (en)
  • Morgan Kaufmann (en)
  • North-Holland (en)
  • Physica-Verlag (en)
  • Springer (en)
  • Springer-Verlag (en)
  • Wiley (en)
p:surname
  • An (en)
  • Ando (en)
  • Andrzejak (en)
  • Bay (en)
  • Catlett (en)
  • Cercone (en)
  • Cheung (en)
  • Chiu (en)
  • Chmielewski (en)
  • Cooper (en)
  • Dasii (en)
  • Dougherty (en)
  • Duda (en)
  • Fayyad (en)
  • Frank (en)
  • Friedman (en)
  • Grassberger (en)
  • Grzymala-Busse (en)
  • Hart (en)
  • Hastie (en)
  • Hussain (en)
  • Irani (en)
  • Kohavi (en)
  • Kraskov (en)
  • Lee (en)
  • Liu (en)
  • Ludl (en)
  • Monti (en)
  • Nguyen (en)
  • Pfahringer (en)
  • Rabaséda (en)
  • Rakotomalala (en)
  • Rencher (en)
  • Sahami (en)
  • Shin (en)
  • Simon (en)
  • Stefanowski (en)
  • Stork (en)
  • Stögbauer (en)
  • Tan (en)
  • Tibshirani (en)
  • Ting (en)
  • Wang (en)
  • Watanabe (en)
  • Widmer (en)
  • Witten (en)
  • Wong (en)
  • Zighed (en)
p:title
  • Computing and Information: Proceedings of the International Conference on Computing and Information (ICCI '89) (en)
  • Data Mining: Practical Machine Learning Tools and Techniques (en)
  • Discretization of continuous-valued attributes and instance-based learning (Technical Report No.491) (en)
  • Discretization: An enabling technique (en)
  • Essays on the Structure of Social Science Models (en)
  • FUSINTER: A method for discretization of continuous attributes (en)
  • Global discretization of continuous attributes as preprocessing for machine learning (en)
  • Hierarchical clustering based on mutual information (en)
  • Information synthesis based on hierarchical maximum entropy discretization (en)
  • Information theoretical analysis of multivariate correlation (en)
  • Knowing and Guessing: A Quantitative Study of Inference and Information (en)
  • Knowledge Discovery in Databases (en)
  • Machine Learning: Proceedings of the Twelfth International Conference (ICML 1995) (en)
  • Machine Learning—EWSL-91: European Working Session on Learning (en)
  • Methodologies for Knowledge Discovery and Data Mining: Proceedings of the Third Pacific-Asia Conference, PAKDD-99 (en)
  • Methods of Multivariate Analysis (en)
  • Multivariate discretization for set mining (en)
  • Pattern Classification (en)
  • Proceedings of the 11th European Conference on Artificial Intelligence (ECAI 94) (en)
  • Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2000) (en)
  • Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence (en)
  • Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI-93) (en)
  • Rough Sets in Knowledge Discovery 1: Methodology and Applications (en)
  • The Elements of Statistical Learning: Data Mining, Inference, and Prediction (en)
  • The Sciences of the Artificial (en)
  • Three discretization methods for rule induction (en)
  • Uncertainty 99: The 7th International Workshop on Artificial Intelligence and Statistics (en)
p:url
p:volume
  • 2 (xsd:integer)
  • 3 (xsd:integer)
  • 4 (xsd:integer)
  • 6 (xsd:integer)
  • 15 (xsd:integer)
  • 16 (xsd:integer)
p:wikiPageUsesTemplate
p:year
  • 1960 (xsd:integer)
  • 1963 (xsd:integer)
  • 1969 (xsd:integer)
  • 1989 (xsd:integer)
  • 1990 (xsd:integer)
  • 1991 (xsd:integer)
  • 1993 (xsd:integer)
  • 1994 (xsd:integer)
  • 1995 (xsd:integer)
  • 1996 (xsd:integer)
  • 1998 (xsd:integer)
  • 1999 (xsd:integer)
  • 2000 (xsd:integer)
  • 2001 (xsd:integer)
  • 2002 (xsd:integer)
  • 2003 (xsd:integer)
  • 2005 (xsd:integer)
rdfs:comment
  • Granular computing is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information. Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their similarity, functional adjacency, indistinguishability, coherency, or the like. (en)
rdfs:label
  • Granular computing (en)
owl:sameAs
skos:subject
foaf:depiction
foaf:img
foaf:page
is p:redirect of