| Key | Value |
|---|---|
| FileName | ./usr/share/applications/weka.desktop |
| FileSize | 401 |
| MD5 | 9EAADDB20F672E3320D079FBBF0CDC83 |
| SHA-1 | 0B2157B8F9EEFF160C0E7B458F528B2BA7519752 |
| SHA-256 | B678CE98FEB7B70DAA08F6A9AC3C59CB23D6D8C82A4BEF5E7AB51E4481412506 |
| SSDEEP | 12:rqMJLMpdxSuwQ4UuoR7JYq1BsDh2Kj9t0uLV:rqMJIpdgw4UlaQsV2elV |
| TLSH | T1B0E061C5175156B5C347D914DE06EFFE9F3A5706C9805444CCC6501D52449C985E3D6D |
| 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 | 57916F9F0F22747C82146D04D3A07337 |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. |
| PackageMaintainer | Fedora Project |
| PackageName | weka |
| PackageRelease | 1.fc18 |
| PackageVersion | 3.6.8 |
| SHA-1 | 93C62B0C55ECDD9C1FCA96FE2363B7178A1CAD60 |
| SHA-256 | 696C09804D21839E9985A09D6B930AD401C63C9FF87C363B4EA6EA1630992F0E |
| Key | Value |
|---|---|
| MD5 | 3E729A70F089D3A2D172340F3C5596CE |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. |
| PackageMaintainer | Fedora Project |
| PackageName | weka |
| PackageRelease | 1.fc18 |
| PackageVersion | 3.6.8 |
| SHA-1 | 38CE31307DA5279F71EEB195D526690BA3B04754 |
| SHA-256 | 88FD166B8C2DDA537315061B89D2E28612147FB37D805110A0F6F829CFC1069C |
| Key | Value |
|---|---|
| MD5 | FB0FDC148881D2057ED6FD3B3B86138D |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. |
| PackageMaintainer | Fedora Project |
| PackageName | weka |
| PackageRelease | 1.fc18 |
| PackageVersion | 3.6.8 |
| SHA-1 | 0B8CB68B514D3C4025099E0DB6A462AAED99D026 |
| SHA-256 | 3D35131B632B13C0EEE5EE12D6A525DE6C4F90FEF6ED1F3839056C2AA131FB6A |