| http://dbpedia.org/ontology/abstract
|
Computação granular (GrC) é um paradigma d … Computação granular (GrC) é um paradigma de computação emergente de. Trata-se de processamento de entidade complexas de informação chamadas de grânulos, que surgem no processo de abstração e derivação de conhecimento de informações ou dados. De modo Geral, grânulos de informações são coleções de entidade que usualmente originam no nível numérico e são organizadas em conjunto, deviso a sua semelhança, adjacência física ou funcional, indistinguibilidade, coerência, ou semelhantes. Atualmente, computação granular é mais uma perspectiva teórica do que um conjunto coerente de métodos e princípios. Como uma perspectiva teórica, incentiva uma abordagem dos dados que reconhece e explora o conhecimento presente em dados em vários nível de resolução ou escala. Neste sentido, ela aborda todos os métodos que fornecem flexibilidade e adaptabilidade na resolução em que conhecimento ou informação é extraída ou apresentadato ou informação é extraída ou apresentada
, Granular computing (GrC) is an emerging co … Granular computing (GrC) is an emerging computing paradigm of information processing that concerns the processing of complex information entities called "information granules", which arise in the process of data abstraction and derivation of knowledge from information or data. Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their similarity, functional or physical 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. information is extracted and represented.
|
| http://dbpedia.org/ontology/thumbnail
|
http://commons.wikimedia.org/wiki/Special:FilePath/Catarina_26_mar_2004_1310Z.jpg?width=300 +
|
| http://dbpedia.org/ontology/wikiPageExternalLink
|
http://portal.acm.org/citation.cfm%3Fid=353472 +
, http://portal.acm.org/citation.cfm%3Fid=675398 +
, http://www2.cs.uregina.ca/~jtyao/Papers/53_RSCTC02.pdf +
, http://www2.cs.uregina.ca/~yyao/PAPER_PDF/grcfordm06.pdf +
, http://portal.acm.org/citation.cfm%3Fcoll=GUIDE&dl=GUIDE&id=112164 +
, http://citeseer.ist.psu.edu/145651.html +
, http://citeseer.ist.psu.edu/dougherty95supervised.html +
, http://kuscholarworks.ku.edu/dspace/bitstream/1808/412/1/j36-draft.pdf +
, http://citeseer.ist.psu.edu/monti99latent.html +
, http://citeseer.ist.psu.edu/pfahringer95compressionbased.html +
, http://citeseer.ist.psu.edu/wang98concurrent.html +
, https://wayback.archive-it.org/all/20070418031341/http:/www.cs.uregina.ca/~yyao/PAPER_PDF/grcfordm06.pdf +
, http://www.cs.waikato.ac.nz/~ml/weka/book.html +
|
| http://dbpedia.org/ontology/wikiPageID
|
1041204
|
| http://dbpedia.org/ontology/wikiPageLength
|
41095
|
| http://dbpedia.org/ontology/wikiPageRevisionID
|
1113908264
|
| http://dbpedia.org/ontology/wikiPageWikiLink
|
http://dbpedia.org/resource/Infobright +
, http://dbpedia.org/resource/Journal_of_Experimental_and_Theoretical_Artificial_Intelligence +
, http://dbpedia.org/resource/Satellite_images +
, http://dbpedia.org/resource/Data_mining +
, http://dbpedia.org/resource/Mixture_model +
, http://dbpedia.org/resource/Gaussian_distribution +
, http://dbpedia.org/resource/Amsterdam +
, http://dbpedia.org/resource/Database_systems +
, http://dbpedia.org/resource/Fuzzy_sets +
, http://dbpedia.org/resource/Independent_component_analysis +
, http://dbpedia.org/resource/London +
, http://dbpedia.org/resource/Bayesian_information_criterion +
, http://dbpedia.org/resource/Discretization +
, http://dbpedia.org/resource/Porto%2C_Portugal +
, http://dbpedia.org/resource/Granulation +
, http://dbpedia.org/resource/International_Journal_of_Uncertainty%2C_Fuzziness_and_Knowledge-Based_Systems +
, http://dbpedia.org/resource/Heidelberg +
, http://dbpedia.org/resource/Category:Machine_learning +
, http://dbpedia.org/resource/Category:Theoretical_computer_science +
, http://dbpedia.org/resource/Data_clustering +
, http://dbpedia.org/resource/Rough_set +
, http://dbpedia.org/resource/Conditional_probability +
, http://dbpedia.org/resource/Joint_entropy +
, http://dbpedia.org/resource/Netherlands +
, http://dbpedia.org/resource/Domain_knowledge +
, http://dbpedia.org/resource/Principal_component_analysis +
, http://dbpedia.org/resource/Belur_V._Dasarathy +
, http://dbpedia.org/resource/File:NASA_Manhattan.jpg +
, http://dbpedia.org/resource/Chamb%C3%A9ry%2C_France +
, http://dbpedia.org/resource/Value-attribute_system +
, http://dbpedia.org/resource/Quantization_%28signal_processing%29 +
, http://dbpedia.org/resource/Fort_Lauderdale%2C_FL +
, http://dbpedia.org/resource/Cambridge%2C_MA +
, http://dbpedia.org/resource/Joint_distribution +
, http://dbpedia.org/resource/Arithmetic_precision +
, http://dbpedia.org/resource/Measure_of_similarity +
, http://dbpedia.org/resource/Minimum_description_length +
, http://dbpedia.org/resource/Manhattan +
, http://dbpedia.org/resource/New_York_City +
, http://dbpedia.org/resource/Projection_pursuit +
, http://dbpedia.org/resource/Type-2_Fuzzy_Sets_and_Systems +
, http://dbpedia.org/resource/Lyon%2C_France +
, http://dbpedia.org/resource/Toronto +
, http://dbpedia.org/resource/Mutual_information +
, http://dbpedia.org/resource/Beijing%2C_China +
, http://dbpedia.org/resource/Polytomy +
, http://dbpedia.org/resource/Similarity_measure +
, http://dbpedia.org/resource/OLAP +
, http://dbpedia.org/resource/Information_processing +
, http://dbpedia.org/resource/Knowledge_extraction +
, http://dbpedia.org/resource/Linear_correlation +
, http://dbpedia.org/resource/Cyclones +
, http://dbpedia.org/resource/Business_intelligence +
, http://dbpedia.org/resource/Computing +
, http://dbpedia.org/resource/Sydney +
, http://dbpedia.org/resource/Structural_equation_modeling +
, http://dbpedia.org/resource/Factor_analysis +
, http://dbpedia.org/resource/Akaike_information_criterion +
, http://dbpedia.org/resource/Dimensionality_reduction +
, http://dbpedia.org/resource/Rough_sets +
, http://dbpedia.org/resource/File:Kraskov_tree.png +
, http://dbpedia.org/resource/Machine_learning +
, http://dbpedia.org/resource/File:Value_granulation.png +
, http://dbpedia.org/resource/File:Catarina_26_mar_2004_1310Z.jpg +
, http://dbpedia.org/resource/Multidimensional_scaling +
, http://dbpedia.org/resource/Curse_of_dimensionality +
, http://dbpedia.org/resource/Model_regularization +
, http://dbpedia.org/resource/Overfitting +
, http://dbpedia.org/resource/Information_entropy +
, http://dbpedia.org/resource/Lotfi_Zadeh +
, http://dbpedia.org/resource/Logical_implication +
, http://dbpedia.org/resource/Tahoe_City%2C_CA +
|
| http://dbpedia.org/property/wikiPageUsesTemplate
|
http://dbpedia.org/resource/Template:Harv +
, http://dbpedia.org/resource/Template:Citation +
, http://dbpedia.org/resource/Template:Convert +
, http://dbpedia.org/resource/Template:Harvtxt +
, http://dbpedia.org/resource/Template:Cite_conference +
, http://dbpedia.org/resource/Template:Harvnb +
, http://dbpedia.org/resource/Template:Refend +
, http://dbpedia.org/resource/Template:Refbegin +
|
| http://purl.org/dc/terms/subject
|
http://dbpedia.org/resource/Category:Theoretical_computer_science +
, http://dbpedia.org/resource/Category:Machine_learning +
|
| http://purl.org/linguistics/gold/hypernym
|
http://dbpedia.org/resource/Paradigm +
|
| http://www.w3.org/ns/prov#wasDerivedFrom
|
http://en.wikipedia.org/wiki/Granular_computing?oldid=1113908264&ns=0 +
|
| http://xmlns.com/foaf/0.1/depiction
|
http://commons.wikimedia.org/wiki/Special:FilePath/Value_granulation.png +
, http://commons.wikimedia.org/wiki/Special:FilePath/Catarina_26_mar_2004_1310Z.jpg +
, http://commons.wikimedia.org/wiki/Special:FilePath/NASA_Manhattan.jpg +
, http://commons.wikimedia.org/wiki/Special:FilePath/Kraskov_tree.png +
|
| http://xmlns.com/foaf/0.1/isPrimaryTopicOf
|
http://en.wikipedia.org/wiki/Granular_computing +
|
| owl:sameAs |
http://dbpedia.org/resource/Granular_computing +
, http://pt.dbpedia.org/resource/Computa%C3%A7%C3%A3o_granular +
, https://global.dbpedia.org/id/4kKtj +
, http://www.wikidata.org/entity/Q5596712 +
, http://rdf.freebase.com/ns/m.040tc2 +
|
| rdf:type |
http://dbpedia.org/ontology/ProgrammingLanguage +
|
| rdfs:comment |
Granular computing (GrC) is an emerging co … Granular computing (GrC) is an emerging computing paradigm of information processing that concerns the processing of complex information entities called "information granules", which arise in the process of data abstraction and derivation of knowledge from information or data. Generally speaking, information granules are collections of entities that usually originate at the numeric level and are arranged together due to their similarity, functional or physical adjacency, indistinguishability, coherency, or the like.istinguishability, coherency, or the like.
, Computação granular (GrC) é um paradigma d … Computação granular (GrC) é um paradigma de computação emergente de. Trata-se de processamento de entidade complexas de informação chamadas de grânulos, que surgem no processo de abstração e derivação de conhecimento de informações ou dados. De modo Geral, grânulos de informações são coleções de entidade que usualmente originam no nível numérico e são organizadas em conjunto, deviso a sua semelhança, adjacência física ou funcional, indistinguibilidade, coerência, ou semelhantes.tinguibilidade, coerência, ou semelhantes.
|
| rdfs:label |
Computação granular
, Granular computing
|
