Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dnyanesh Rajpathak"'
Publikováno v:
SAE International Journal of Aerospace. 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cd1df4f7e1f6e16a4ce24be84ebb736
https://doi.org/10.4271/01-15-02-0008
https://doi.org/10.4271/01-15-02-0008
Publikováno v:
Journal of Systems and Software. 186:111211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8871858a8a55a8097715fd2f6dec2d5e
https://doi.org/10.1016/j.jss.2021.111211
https://doi.org/10.1016/j.jss.2021.111211
Publikováno v:
KMIS
Ontology learning is a critical task in industry, dealing with identifying and extracting concepts captured in text data such that these concepts can be used in different tasks, e.g. information retrieval. Ontology learning is non-trivial due to seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e1fe0befd2cb144298bd74d4574d288
Publikováno v:
Computers in Industry. 123:103338
A real-life hierarchical classification system is developed to automatically extract a domain ontology from repair data collected during the warranty period of an original equipment manufacturer (OEM), e.g. automotive. Given the complex nature of pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a40bb2bba9f59648ca3c063235b754b3
https://doi.org/10.1016/j.compind.2020.103338
https://doi.org/10.1016/j.compind.2020.103338
Autor:
Dnyanesh Rajpathak, Satnam Singh
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 44:966-977
Fault dependency (D)-matrix is a systematic diagnostic model [7] to capture the hierarchical system-level fault diagnostic information consisting of dependencies between observable symptoms and failure modes associated with a system. Constructing a D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76d2a71f788fc182515695e789dc68ae
https://doi.org/10.1109/tsmc.2013.2281963
https://doi.org/10.1109/tsmc.2013.2281963
Autor:
Dnyanesh Rajpathak
Publikováno v:
Computers in Industry. 64:565-580
In automotive domain, overwhelming volume of textual data is recorded in the form of repair verbatim collected during the fault diagnosis (FD) process. Here, the aim of knowledge discovery using text mining (KDT) task is to discover the best-practice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1216625a3e560e78f3772eb5c3a49b4
https://doi.org/10.1016/j.compind.2013.03.001
https://doi.org/10.1016/j.compind.2013.03.001
Publikováno v:
International Journal of Computer Integrated Manufacturing. 25:774-789
The current warranty data collection processes exhibit several data quality issues – the level of detail and precision is missing in the collected data, the semantic heterogeneity is observed and no systematic data quality validation mechanism to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::310f213dd70a58d9d2d263a3aaebd32e
https://doi.org/10.1080/0951192x.2012.665187
https://doi.org/10.1080/0951192x.2012.665187
Publikováno v:
Computers in Industry. 62:742-754
In this paper, we propose a novel integrated framework combining association rule mining, case-based-reasoning and text mining that can be used to continuously improve service and repair in an automotive domain. The developed framework enables identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9fc59375b7012ca340f6f90cf0c1631
https://doi.org/10.1016/j.compind.2011.05.007
https://doi.org/10.1016/j.compind.2011.05.007
Publikováno v:
Knowledge and Information Systems. 31:405-432
We propose a novel association and text mining system for knowledge discovery (ASTEK) from the warranty and service data in the automotive domain. The complex architecture of modern vehicles makes fault diagnosis and isolation a non-trivial task. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9896a67fe5fc9d80d7f05ec27fe0d49
https://doi.org/10.1007/s10115-011-0409-1
https://doi.org/10.1007/s10115-011-0409-1
Autor:
Rahul Chougule, Dnyanesh Rajpathak
Publikováno v:
International Journal of Computer Integrated Manufacturing. 24:154-170
Data inconsistency and data mismatch are critical problems that limit data interoperability and hinder smooth operation of a distributed business. An ontology represents a semantic model that explicitly describes various entities and their properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bfd926b11c7a5c7d643c403a5f4003
https://doi.org/10.1080/0951192x.2010.531291
https://doi.org/10.1080/0951192x.2010.531291