Key | Value |
---|---|
FileName | ./usr/lib64/R/library/SDEFSR/shiny/www/load.js |
FileSize | 53 |
MD5 | BF9E760E1389CDDA1B291BFA19A749B2 |
SHA-1 | 1714C6F9E1749354DC00B1487AA82DD74AC05436 |
SHA-256 | D198F95EEA9243271113E650C0FEF648ACBA62823C8C4E4FD2ADCF858874C9AD |
SSDEEP | 3:TMQCUef4JKBcPiGXAeLn:A0JKqaeL |
TLSH | T1289002446400505C51D59AA5506B46580554A4C799091185059444965534B30659D4D9 |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | A4D36CF532A97E5D2A7B05283D4039F6 |
PackageArch | x86_64 |
PackageDescription | Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects. |
PackageName | R-SDEFSR |
PackageRelease | lp154.3.1 |
PackageVersion | 0.7.22 |
SHA-1 | 22F89DD3EE889B023353181A0E6E8D6394EB4BC4 |
SHA-256 | 1CA55441B60995A30015E0867BBFB2AB6014D186C1ED58C636EA7B4BD726E443 |
Key | Value |
---|---|
MD5 | 525C2021E63687F4913DA1D3D49FFD60 |
PackageArch | x86_64 |
PackageDescription | Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects. |
PackageName | R-SDEFSR |
PackageRelease | lp153.3.2 |
PackageVersion | 0.7.22 |
SHA-1 | 6E0DA1FC906DD5EDEB8DB65768BF86D3EAF3D2E0 |
SHA-256 | 1D3C3D9A9E8FD40FD6F99F4B906C13D29A897EC5B22718B3F268307E9B703457 |
Key | Value |
---|---|
MD5 | D045CB433983D466918BD0F9FBE59EBD |
PackageArch | x86_64 |
PackageDescription | Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects. |
PackageName | R-SDEFSR |
PackageRelease | lp152.3.2 |
PackageVersion | 0.7.22 |
SHA-1 | DD893DD0DD5919CEDA9EC7F7953DD22606F0C417 |
SHA-256 | 6527663EF60BFEEBAAC0868C91DDC6A265E6C401661E1F538ABE11D2C8C5DF43 |
Key | Value |
---|---|
MD5 | 3A13B9D06CE794D3F81B86A0BEECF0E0 |
PackageArch | x86_64 |
PackageDescription | Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects. |
PackageName | R-SDEFSR |
PackageRelease | 3.8 |
PackageVersion | 0.7.22 |
SHA-1 | 1B87F5BA361CFC9F7937787715FC5CB982950492 |
SHA-256 | AC2CDAFFA01205EC51CAB61C90E7747AA3C0863815F0FFA344D5909C158F5C54 |