Key | Value |
---|---|
FileName | ./usr/lib64/R/library/SDEFSR/R/SDEFSR.rdb |
FileSize | 320613 |
MD5 | 0A5B04363983184FC4AA1A05155DB9B6 |
SHA-1 | 0B3EF9BE8B3144849132D16C20742C1B38696BAE |
SHA-256 | 358B0A9967F0A84A8764D63B2067561D3C03433572D06A4006A3E8A4BB798924 |
SSDEEP | 6144:oy5mg/8pYeCv67BNX2oB4maPlu15s7eyBVHkv1D1dQlCdOUq++IUgy:T7CCqNXumMll7hB0HQnnB |
TLSH | T1A964238654719EAF32BF4619505A1740CF7CB8B69D1381E7CB108E03F399EBA48F9A19 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
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 |