Result for 0330019EC9637B26BCF96A0590F00A5148C5CB3C

Query result

Key Value
FileName./usr/lib64/R/library/SDEFSR/R/SDEFSR.rdx
FileSize2348
MD579710F7716DD719152D9A70C8E89400C
SHA-10330019EC9637B26BCF96A0590F00A5148C5CB3C
SHA-256CA260E08AC7496612DE16F01B15AC73903E8A83C3EDE3A246378246BCEBF3522
SSDEEP48:XrIbF8gyKFY/jmAYZroaaRxLUGEnCzeKghCtQksDLShqed6G482BWLj:7IpeKmrrgVnog0+kjhqpGb2Bej
TLSHT19C413B1EE23766A0340303EC8AEAE94D4A5634177CA35E758AAE65C146D5CFC75003F3
hashlookup:parent-total3
hashlookup:trust65

Network graph view

Parents (Total: 3)

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
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