👉 Unlocalise is a concept in data science, primarily used to describe the process of removing or reducing the redundancy within a dataset. It involves identifying and eliminating redundant entries from a large dataset, thus ensuring that each piece of information provided by the user is unique and not duplicated. In other words, unlocalising refers to the removal of duplicate elements from a set, allowing for the identification and analysis of only those elements that are relevant to the original question or problem being addressed. This can be particularly
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What is the definition of Unlocalised? 🙋
👉 Unlocalised refers to a specific situation or event that is not fully understood by all parties involved, and may involve multiple levels of information. It can refer to any type of data or information that is not readily available or accessible in a centralized location. In the context of cyber security, unlocalised threats are those that do not originate from outside the network, making them difficult to detect or respond to effectively. They can occur when a malicious actor has access to sensitive data and is able to
