Key | Value |
---|---|
FileName | ./usr/lib64/R/library/SDEFSR/R/SDEFSR.rdx |
FileSize | 2348 |
MD5 | 79710F7716DD719152D9A70C8E89400C |
SHA-1 | 0330019EC9637B26BCF96A0590F00A5148C5CB3C |
SHA-256 | CA260E08AC7496612DE16F01B15AC73903E8A83C3EDE3A246378246BCEBF3522 |
SSDEEP | 48:XrIbF8gyKFY/jmAYZroaaRxLUGEnCzeKghCtQksDLShqed6G482BWLj:7IpeKmrrgVnog0+kjhqpGb2Bej |
TLSH | T19C413B1EE23766A0340303EC8AEAE94D4A5634177CA35E758AAE65C146D5CFC75003F3 |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 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 |