Result for 2FAE40CB3F1308F5E93DAAE146E7572AB0F66055

Query result

Key Value
FileName./usr/lib64/R/library/RWeka/R/RWeka.rdx
FileSize2858
MD5AD8DD6C410C25C156BCE9ECA8618292F
SHA-12FAE40CB3F1308F5E93DAAE146E7572AB0F66055
SHA-256FC4BB4EECA5F1E8D7461266A3B301021BBAFF56D37FEFF75522F0E16ADDC8C9E
SSDEEP48:XRKmq4gonGO+DDr3qze5Rbr9XIi55BlRvzLRf8aEnGh2xJuym:S4gonGO+DD2zKRmwzbvzLx8aEnGwDm
TLSHT1FC513D2B10431850CA30EFAF611047746A39886F784B8978FDA65FCE82D54399C6D35C
hashlookup:parent-total1
hashlookup:trust55

Network graph view

Parents (Total: 1)

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
MD56CA942E1743D91DED4B1BFD08D9AF700
PackageArchx86_64
PackageDescriptionAn R interface to Weka (Version 3.7.10). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/~ml/weka/>.
PackageNameR-RWeka
PackageRelease1.123
PackageVersion0.4.39
SHA-10E40454308D759B3F7D76AC6CA2EE8C7B9BE7D65
SHA-256DD04AF53C3BA3674FEC64E770440628FD9F92B9E062972FDF719109A60E0167A