| Key | Value |
|---|---|
| FileName | ./usr/share/applications/weka.desktop |
| FileSize | 402 |
| MD5 | 9F5A89EECA8A768A8B27A7DE8E0B8970 |
| SHA-1 | 24B49E9DDA1FE521B2FD74FF83A43707E8DB9713 |
| SHA-256 | E47D38DDD961D429F2FD5E83CA00EC69FD04159873F0A218D67E3A05F234A6A8 |
| SSDEEP | 12:jqMJLMpdxSuwQ4UuoR7JYq1BsDh2Kj9t0uLh:jqMJIpdgw4UlaQsV2elh |
| TLSH | T190E0F1C5175056F5C307D914DE06EFFEAF3A5706C8805404CCC6500D52449C885E3D6C |
| 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 | 800755460080DBAEE0D3333903BD6E62 |
| 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 | 2.fc13 |
| PackageVersion | 3.6.2 |
| SHA-1 | D612A4A0A2BBE2F929EC792AEA9857E9D93C7950 |
| SHA-256 | A7A8D2BD7EB21B107CC923CC34C8341121180B38DCE0E12565411075212C51A5 |
| Key | Value |
|---|---|
| MD5 | AC061703A460E873D11A166676578EA0 |
| 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 | 3.fc11 |
| PackageVersion | 3.6.0 |
| SHA-1 | 4C53147CAF0564A176B1EA678D6555E8FB02BEE4 |
| SHA-256 | 6B0197661494866799DA8F0516EBC13207C9B9549C0FECDF3BEA882963B174EA |
| Key | Value |
|---|---|
| MD5 | A1904AF3DDF485ACCA318BAB2FEB70DB |
| 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 | 4.fc12 |
| PackageVersion | 3.6.0 |
| SHA-1 | 9E36553C85D899DB44931A39F61F817BAD9F44D5 |
| SHA-256 | C6806DD8B7140A3E6A8E0DA308178B1BD14B570F09305B8CDA27670430CC30AB |