Matches in SemOpenAlex for { <https://semopenalex.org/work/W2244573416> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2244573416 abstract "2. Aim • We are currently implementing our methodology in java: • The use of java simplify the porting in our system of solutions available in the public domain avoiding reinventing each time the wheel. • The Extract Crisp Rules step, for example, can make use of well known open source data mining software packages (e. g. WEKA) • For the Adapt the FIS step, packages like jFuzzyLogic or XFuzzy can be profitably used. • Variables involved in a diagnostic DSS need to be carefully described also using one of the available ontologies: • java offers a plethora of methods to handle formally represented knowledge. • Java code is the easiest to be distributed and ported on whatever hardware platform. • Multi core and parallel platforms to speed computations up during the definition and the adaptation of the FIS. • We need to realize fuzzy systems usable even on handheld devices. 1. Scenario • Early detection of (almost) any disease is a key factor. • The detection can be often formulated as a binary decision making problem often based on uncertain information ⇒ • the ultimate diagnosis can be difficult to obtain even for a medical expert ⇒ • many computerized diagnostic tools intended to aid the physician in interpreting the data have been thus proposed • A diagnostic tool • must attain the best possible performance in terms of correct classification rate • it would be also desirable the system not only provides a diagnosis • a numerical value representing the degree to which the system is confident in the solution • the system should provide some insight into how the solution has been derived. • Recently, we proposed a six-steps methodology for extracting fuzzy knowledge from data. • The methodology was implemented in MATLAB and validated using well known diagnostic data set sets." @default.
- W2244573416 created "2016-06-24" @default.
- W2244573416 creator A5025157025 @default.
- W2244573416 creator A5083616436 @default.
- W2244573416 creator A5086794713 @default.
- W2244573416 date "2011-10-27" @default.
- W2244573416 modified "2023-09-27" @default.
- W2244573416 title "Introducing jFKD: a java fuzzy knowledge discoverer" @default.
- W2244573416 doi "https://doi.org/10.7490/f1000research.1089459.1" @default.
- W2244573416 hasPublicationYear "2011" @default.
- W2244573416 type Work @default.
- W2244573416 sameAs 2244573416 @default.
- W2244573416 citedByCount "0" @default.
- W2244573416 crossrefType "journal-article" @default.
- W2244573416 hasAuthorship W2244573416A5025157025 @default.
- W2244573416 hasAuthorship W2244573416A5083616436 @default.
- W2244573416 hasAuthorship W2244573416A5086794713 @default.
- W2244573416 hasConcept C106251023 @default.
- W2244573416 hasConcept C115903868 @default.
- W2244573416 hasConcept C119857082 @default.
- W2244573416 hasConcept C124101348 @default.
- W2244573416 hasConcept C136764020 @default.
- W2244573416 hasConcept C154945302 @default.
- W2244573416 hasConcept C199360897 @default.
- W2244573416 hasConcept C207685749 @default.
- W2244573416 hasConcept C2777904410 @default.
- W2244573416 hasConcept C2780615836 @default.
- W2244573416 hasConcept C41008148 @default.
- W2244573416 hasConcept C548217200 @default.
- W2244573416 hasConcept C58166 @default.
- W2244573416 hasConceptScore W2244573416C106251023 @default.
- W2244573416 hasConceptScore W2244573416C115903868 @default.
- W2244573416 hasConceptScore W2244573416C119857082 @default.
- W2244573416 hasConceptScore W2244573416C124101348 @default.
- W2244573416 hasConceptScore W2244573416C136764020 @default.
- W2244573416 hasConceptScore W2244573416C154945302 @default.
- W2244573416 hasConceptScore W2244573416C199360897 @default.
- W2244573416 hasConceptScore W2244573416C207685749 @default.
- W2244573416 hasConceptScore W2244573416C2777904410 @default.
- W2244573416 hasConceptScore W2244573416C2780615836 @default.
- W2244573416 hasConceptScore W2244573416C41008148 @default.
- W2244573416 hasConceptScore W2244573416C548217200 @default.
- W2244573416 hasConceptScore W2244573416C58166 @default.
- W2244573416 hasLocation W22445734161 @default.
- W2244573416 hasOpenAccess W2244573416 @default.
- W2244573416 hasPrimaryLocation W22445734161 @default.
- W2244573416 hasRelatedWork W109762978 @default.
- W2244573416 hasRelatedWork W145541802 @default.
- W2244573416 hasRelatedWork W1560812729 @default.
- W2244573416 hasRelatedWork W1569928946 @default.
- W2244573416 hasRelatedWork W157368747 @default.
- W2244573416 hasRelatedWork W158573664 @default.
- W2244573416 hasRelatedWork W1804899404 @default.
- W2244573416 hasRelatedWork W2008890835 @default.
- W2244573416 hasRelatedWork W2291139324 @default.
- W2244573416 hasRelatedWork W2336671329 @default.
- W2244573416 hasRelatedWork W2340359637 @default.
- W2244573416 hasRelatedWork W2486795741 @default.
- W2244573416 hasRelatedWork W2563032420 @default.
- W2244573416 hasRelatedWork W2620006680 @default.
- W2244573416 hasRelatedWork W2623452267 @default.
- W2244573416 hasRelatedWork W2747532027 @default.
- W2244573416 hasRelatedWork W2911988402 @default.
- W2244573416 hasRelatedWork W2994413324 @default.
- W2244573416 hasRelatedWork W1572273094 @default.
- W2244573416 hasRelatedWork W2280316666 @default.
- W2244573416 hasVolume "2" @default.
- W2244573416 isParatext "false" @default.
- W2244573416 isRetracted "false" @default.
- W2244573416 magId "2244573416" @default.
- W2244573416 workType "article" @default.