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Those duplicate labels are called "virtual nodes" i.e. multiple labels which point to a single "real" label or server within the cluster. The amount of virtual nodes or duplicate labels used for a particular server within a cluster is called the "weight" of that particular server.
Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database.It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [1]
Data matching is used to remove duplicate records and identify links between two data sets for marketing, security or other uses. [3] Sounds like Function is used to find values that sound similar. The Phonetic similarity is one way to locate possible duplicate values, or inconsistent spelling in manually entered data.
Jira (/ ˈ dʒ iː r ə / JEE-rə) [4] is a proprietary product developed by Atlassian that allows bug tracking, issue tracking and agile project management.Jira is used by a large number of clients and users globally for project, time, requirements, task, bug, change, code, test, release, sprint management.
An Illinois man recently discovered a hidden treasure behind a wall in his childhood home.. Tim King, owner of T.King Construction Services in Lombard, told PEOPLE that he was helping his parents ...
Yes, Integrated Wiki in addition to integrated versioned project documentation via web ui. No No No Yes No No Yes [43] No [44] No No FusionForge: Yes, integrated Mediawiki, discussion forums, news blogs, email integration, export to CSV, reporting graphs No Yes Yes Yes No Yes Yes Yes No GLPI: Yes, Contains a proprietary knowledge base of sorts ...
Jira Studio was an integrated, hosted software development suite developed by Atlassian Software Systems.Jira Studio included Subversion for revision control, Jira for issue tracking and bug tracking, Confluence for content management, Jira Agile (previously known as GreenHopper) [2] for agile planning and management, Bamboo for continuous integration, Crucible for code review and FishEye for ...
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).