| Key | Value |
|---|---|
| FileName | ./usr/share/doc/uARMSolver/README.txt |
| FileSize | 4139 |
| MD5 | 307275D4D76D74658C7806B322BF8621 |
| SHA-1 | CA604111CA0931AECA3694015067A0DEF09909C6 |
| SHA-256 | A9BB336C492B74A561F9F86B380E17858202BDB6CFAAC39B629C7A208A8DE2CB |
| SSDEEP | 96:ckRxLwHeZWoKhJ+3VTzyAllAw++687fXoF7A0+lBnDfLjdye+ZIV+Sz:ckLkeH6+3rlIEA5b+lBnDfLjdyiV+Sz |
| TLSH | T12C8136207F421FB1008A63E2DE9E52D6D72D516532BA41E058B4F858290FC74E3BBBD9 |
| hashlookup:parent-total | 5 |
| hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 4601BDEB2CD57CE0FA9EFAE9E44F5185 |
| PackageArch | s390x |
| PackageDescription | uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools. |
| PackageMaintainer | Fedora Project |
| PackageName | uARMSolver |
| PackageRelease | 1.el8 |
| PackageVersion | 0.2.1 |
| SHA-1 | 9087B1483AAC2523AB58D04696B7A5E6C1EAAF74 |
| SHA-256 | 5C7D5428F348526BF77F75B34AE97AFAB93EDFFCB9427AF4B81DEC6F7B94D4BC |
| Key | Value |
|---|---|
| MD5 | A3A199FA29C25632AD02BF2A149A5EE0 |
| PackageArch | x86_64 |
| PackageDescription | uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools. |
| PackageMaintainer | Fedora Project |
| PackageName | uARMSolver |
| PackageRelease | 1.el8 |
| PackageVersion | 0.2.1 |
| SHA-1 | BA5656A3E1DF16AE4276B7FFB3E9BBA15AC3760D |
| SHA-256 | 2AEE2F4E317E495B6636904C456B5F3C82F2408C76BC2A408DBE993CAE36146C |
| Key | Value |
|---|---|
| MD5 | 31563E16F442A73127ECF58DB60B1F2C |
| PackageArch | aarch64 |
| PackageDescription | uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools. |
| PackageMaintainer | Fedora Project |
| PackageName | uARMSolver |
| PackageRelease | 1.fc34 |
| PackageVersion | 0.2.1 |
| SHA-1 | 247580BF09C3DF1DCCE1C15FF295593FDEC7377F |
| SHA-256 | A7A9E54A29C4B05A9BC6662D7DD9E4AC552FB3DD15EC707CD29C73EAE970940A |
| Key | Value |
|---|---|
| MD5 | D89B56CF80AA1103FD9CD63EEA2DFC9F |
| PackageArch | armv7hl |
| PackageDescription | uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools. |
| PackageMaintainer | Fedora Project |
| PackageName | uARMSolver |
| PackageRelease | 1.fc34 |
| PackageVersion | 0.2.1 |
| SHA-1 | 5A36C84243CC3DBF5859E52DDD2F9BB37FBE3BF8 |
| SHA-256 | 85798A26C47BB995D3E1DB7932D4F5D9FE3D543EF99E25A4188A4F2B4BD05439 |
| Key | Value |
|---|---|
| MD5 | 9308B40154EB2099E169DFD48BD22B5E |
| PackageArch | x86_64 |
| PackageDescription | uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools. |
| PackageMaintainer | Fedora Project |
| PackageName | uARMSolver |
| PackageRelease | 1.fc34 |
| PackageVersion | 0.2.1 |
| SHA-1 | 5AF92CE32F3E77890AB37B66E3D1D762B38CE5F5 |
| SHA-256 | 2CE4A02F4EA956E349F57504A50122F0D81F4449209B33A662D3C6F67E75B051 |