Matches in SemOpenAlex for { <https://semopenalex.org/work/W2041291103> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2041291103 endingPage "49" @default.
- W2041291103 startingPage "39" @default.
- W2041291103 abstract "Data mining, the discovery of knowledge from data, bridges several disciplines such as database management, artificial intelligence, statistics, visualization and the domain of the data, e.g., biology or engineering. Knowledge discovered by mining the data can be used for various purposes such as developing decision support systems and intelligent tutors. In this paper we present such a data mining problem in the mechanical engineering domain where knowledge discovery from the data is performed using statistical approaches, to conduct predictive analysis for decision support. More specifically, we focus on the engine health problem which consists of using existing data on the behavior of an engine in order to predict whether the engine is capable of functioning well (i.e., it is healthy) and to offer suggestions on preventive maintenance. The data we use for this predictive analysis consists of graphs that plot process parameters such as the vibration and temperature of the engine with respect to time. In this paper we define the problem in detail, propose a solution based on statistical inference techniques, summarize our experimental evaluation and discuss the applications of this work in various fields from a decision support angle." @default.
- W2041291103 created "2016-06-24" @default.
- W2041291103 creator A5000227835 @default.
- W2041291103 creator A5003871327 @default.
- W2041291103 creator A5058279309 @default.
- W2041291103 creator A5090253347 @default.
- W2041291103 date "2014-06-16" @default.
- W2041291103 modified "2023-10-18" @default.
- W2041291103 title "Predictive analysis of engine health for decision support" @default.
- W2041291103 cites W1969009767 @default.
- W2041291103 cites W1977091570 @default.
- W2041291103 cites W1995017987 @default.
- W2041291103 cites W2034057672 @default.
- W2041291103 cites W2037743829 @default.
- W2041291103 cites W2064745300 @default.
- W2041291103 cites W2066169218 @default.
- W2041291103 cites W2071801173 @default.
- W2041291103 cites W2079462137 @default.
- W2041291103 cites W2148061495 @default.
- W2041291103 cites W4205110562 @default.
- W2041291103 doi "https://doi.org/10.1145/2641190.2641197" @default.
- W2041291103 hasPublicationYear "2014" @default.
- W2041291103 type Work @default.
- W2041291103 sameAs 2041291103 @default.
- W2041291103 citedByCount "2" @default.
- W2041291103 countsByYear W20412911032015 @default.
- W2041291103 countsByYear W20412911032017 @default.
- W2041291103 crossrefType "journal-article" @default.
- W2041291103 hasAuthorship W2041291103A5000227835 @default.
- W2041291103 hasAuthorship W2041291103A5003871327 @default.
- W2041291103 hasAuthorship W2041291103A5058279309 @default.
- W2041291103 hasAuthorship W2041291103A5090253347 @default.
- W2041291103 hasConcept C107327155 @default.
- W2041291103 hasConcept C119857082 @default.
- W2041291103 hasConcept C120567893 @default.
- W2041291103 hasConcept C124101348 @default.
- W2041291103 hasConcept C134306372 @default.
- W2041291103 hasConcept C154945302 @default.
- W2041291103 hasConcept C202444582 @default.
- W2041291103 hasConcept C207685749 @default.
- W2041291103 hasConcept C2522767166 @default.
- W2041291103 hasConcept C2776214188 @default.
- W2041291103 hasConcept C33923547 @default.
- W2041291103 hasConcept C36464697 @default.
- W2041291103 hasConcept C36503486 @default.
- W2041291103 hasConcept C41008148 @default.
- W2041291103 hasConcept C46743427 @default.
- W2041291103 hasConcept C84525736 @default.
- W2041291103 hasConcept C9652623 @default.
- W2041291103 hasConceptScore W2041291103C107327155 @default.
- W2041291103 hasConceptScore W2041291103C119857082 @default.
- W2041291103 hasConceptScore W2041291103C120567893 @default.
- W2041291103 hasConceptScore W2041291103C124101348 @default.
- W2041291103 hasConceptScore W2041291103C134306372 @default.
- W2041291103 hasConceptScore W2041291103C154945302 @default.
- W2041291103 hasConceptScore W2041291103C202444582 @default.
- W2041291103 hasConceptScore W2041291103C207685749 @default.
- W2041291103 hasConceptScore W2041291103C2522767166 @default.
- W2041291103 hasConceptScore W2041291103C2776214188 @default.
- W2041291103 hasConceptScore W2041291103C33923547 @default.
- W2041291103 hasConceptScore W2041291103C36464697 @default.
- W2041291103 hasConceptScore W2041291103C36503486 @default.
- W2041291103 hasConceptScore W2041291103C41008148 @default.
- W2041291103 hasConceptScore W2041291103C46743427 @default.
- W2041291103 hasConceptScore W2041291103C84525736 @default.
- W2041291103 hasConceptScore W2041291103C9652623 @default.
- W2041291103 hasIssue "2" @default.
- W2041291103 hasLocation W20412911031 @default.
- W2041291103 hasOpenAccess W2041291103 @default.
- W2041291103 hasPrimaryLocation W20412911031 @default.
- W2041291103 hasRelatedWork W1967465096 @default.
- W2041291103 hasRelatedWork W1984890798 @default.
- W2041291103 hasRelatedWork W2011778299 @default.
- W2041291103 hasRelatedWork W2041291103 @default.
- W2041291103 hasRelatedWork W2092534569 @default.
- W2041291103 hasRelatedWork W2166706013 @default.
- W2041291103 hasRelatedWork W2182247575 @default.
- W2041291103 hasRelatedWork W2335237042 @default.
- W2041291103 hasRelatedWork W2419185176 @default.
- W2041291103 hasRelatedWork W3196014786 @default.
- W2041291103 hasVolume "15" @default.
- W2041291103 isParatext "false" @default.
- W2041291103 isRetracted "false" @default.
- W2041291103 magId "2041291103" @default.
- W2041291103 workType "article" @default.