Result for 06EC1AB4F8F010ABD59D1D592E5E9E005CCCC5AF

Query result

Key Value
FileName./usr/lib64/R/library/SDEFSR/help/paths.rds
FileSize324
MD52747F5709702FE97607E1289C7178135
SHA-106EC1AB4F8F010ABD59D1D592E5E9E005CCCC5AF
SHA-2561DAA1F640D7B96A147E7673B270538C425CE94B53782193359E4222C346564B7
SSDEEP6:XtjDhwI/FZ7IHic7WzGVMbFzcOwiIegMo6YnWLYUqGFUYhZTEm+H:X959Z7Ir3mbtcBiZ66EWLYknT0
TLSHT152E07D2844BEBDE2E055277C334392A36A78D0E0A810E9E5239674369349516CE996FE
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

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
MD5A4D36CF532A97E5D2A7B05283D4039F6
PackageArchx86_64
PackageDescriptionImplementation 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.
PackageNameR-SDEFSR
PackageReleaselp154.3.1
PackageVersion0.7.22
SHA-122F89DD3EE889B023353181A0E6E8D6394EB4BC4
SHA-2561CA55441B60995A30015E0867BBFB2AB6014D186C1ED58C636EA7B4BD726E443
Key Value
MD5525C2021E63687F4913DA1D3D49FFD60
PackageArchx86_64
PackageDescriptionImplementation 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.
PackageNameR-SDEFSR
PackageReleaselp153.3.2
PackageVersion0.7.22
SHA-16E0DA1FC906DD5EDEB8DB65768BF86D3EAF3D2E0
SHA-2561D3C3D9A9E8FD40FD6F99F4B906C13D29A897EC5B22718B3F268307E9B703457
Key Value
MD5D045CB433983D466918BD0F9FBE59EBD
PackageArchx86_64
PackageDescriptionImplementation 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.
PackageNameR-SDEFSR
PackageReleaselp152.3.2
PackageVersion0.7.22
SHA-1DD893DD0DD5919CEDA9EC7F7953DD22606F0C417
SHA-2566527663EF60BFEEBAAC0868C91DDC6A265E6C401661E1F538ABE11D2C8C5DF43
Key Value
MD53A13B9D06CE794D3F81B86A0BEECF0E0
PackageArchx86_64
PackageDescriptionImplementation 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.
PackageNameR-SDEFSR
PackageRelease3.8
PackageVersion0.7.22
SHA-11B87F5BA361CFC9F7937787715FC5CB982950492
SHA-256AC2CDAFFA01205EC51CAB61C90E7747AA3C0863815F0FFA344D5909C158F5C54