Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022841864> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W2022841864 abstract "A data mining based procedure for automated reverse engineering has been developed. The data mining algorithm for reverse engineering uses a genetic program (GP) as a data mining function. A genetic program is an algorithm based on the theory of evolution that automatically evolves populations of computer programs or mathematical expressions, eventually selecting one that is optimal in the sense it maximizes a measure of effectiveness, referred to as a fitness function. The system to be reverse engineered is typically a sensor. Design documents for the sensor are not available and conditions prevent the sensor from being taken apart. The sensor is used to create a database of input signals and output measurements. Rules about the likely design properties of the sensor are collected from experts. The rules are used to create a fitness function for the genetic program. Genetic program based data mining is then conducted. This procedure incorporates not only the experts' rules into the fitness function, but also the information in the database. The information extracted through this process is the internal design specifications of the sensor. Significant experimental and theoretical results related to GP based data mining for reverse engineering and the related uncertainties will be provided." @default.
- W2022841864 created "2016-06-24" @default.
- W2022841864 creator A5067274433 @default.
- W2022841864 date "2007-09-01" @default.
- W2022841864 modified "2023-10-17" @default.
- W2022841864 title "Evolutionary data mining of digital logic and the effects of uncertainty" @default.
- W2022841864 cites W1512622233 @default.
- W2022841864 cites W1735847004 @default.
- W2022841864 cites W189497580 @default.
- W2022841864 cites W1966923603 @default.
- W2022841864 cites W2015731548 @default.
- W2022841864 cites W2119837718 @default.
- W2022841864 cites W2142693972 @default.
- W2022841864 cites W2034776807 @default.
- W2022841864 doi "https://doi.org/10.1109/cec.2007.4424452" @default.
- W2022841864 hasPublicationYear "2007" @default.
- W2022841864 type Work @default.
- W2022841864 sameAs 2022841864 @default.
- W2022841864 citedByCount "0" @default.
- W2022841864 crossrefType "proceedings-article" @default.
- W2022841864 hasAuthorship W2022841864A5067274433 @default.
- W2022841864 hasConcept C111919701 @default.
- W2022841864 hasConcept C119857082 @default.
- W2022841864 hasConcept C124101348 @default.
- W2022841864 hasConcept C127413603 @default.
- W2022841864 hasConcept C14036430 @default.
- W2022841864 hasConcept C154945302 @default.
- W2022841864 hasConcept C176066374 @default.
- W2022841864 hasConcept C199360897 @default.
- W2022841864 hasConcept C207850805 @default.
- W2022841864 hasConcept C2780009758 @default.
- W2022841864 hasConcept C34972735 @default.
- W2022841864 hasConcept C41008148 @default.
- W2022841864 hasConcept C78458016 @default.
- W2022841864 hasConcept C78519656 @default.
- W2022841864 hasConcept C86803240 @default.
- W2022841864 hasConcept C8880873 @default.
- W2022841864 hasConcept C98045186 @default.
- W2022841864 hasConceptScore W2022841864C111919701 @default.
- W2022841864 hasConceptScore W2022841864C119857082 @default.
- W2022841864 hasConceptScore W2022841864C124101348 @default.
- W2022841864 hasConceptScore W2022841864C127413603 @default.
- W2022841864 hasConceptScore W2022841864C14036430 @default.
- W2022841864 hasConceptScore W2022841864C154945302 @default.
- W2022841864 hasConceptScore W2022841864C176066374 @default.
- W2022841864 hasConceptScore W2022841864C199360897 @default.
- W2022841864 hasConceptScore W2022841864C207850805 @default.
- W2022841864 hasConceptScore W2022841864C2780009758 @default.
- W2022841864 hasConceptScore W2022841864C34972735 @default.
- W2022841864 hasConceptScore W2022841864C41008148 @default.
- W2022841864 hasConceptScore W2022841864C78458016 @default.
- W2022841864 hasConceptScore W2022841864C78519656 @default.
- W2022841864 hasConceptScore W2022841864C86803240 @default.
- W2022841864 hasConceptScore W2022841864C8880873 @default.
- W2022841864 hasConceptScore W2022841864C98045186 @default.
- W2022841864 hasLocation W20228418641 @default.
- W2022841864 hasOpenAccess W2022841864 @default.
- W2022841864 hasPrimaryLocation W20228418641 @default.
- W2022841864 hasRelatedWork W1543345676 @default.
- W2022841864 hasRelatedWork W1982055237 @default.
- W2022841864 hasRelatedWork W1995255845 @default.
- W2022841864 hasRelatedWork W2022841864 @default.
- W2022841864 hasRelatedWork W2071954812 @default.
- W2022841864 hasRelatedWork W2144895336 @default.
- W2022841864 hasRelatedWork W2229382791 @default.
- W2022841864 hasRelatedWork W2363740058 @default.
- W2022841864 hasRelatedWork W2803388851 @default.
- W2022841864 hasRelatedWork W2810171887 @default.
- W2022841864 isParatext "false" @default.
- W2022841864 isRetracted "false" @default.
- W2022841864 magId "2022841864" @default.
- W2022841864 workType "article" @default.