07 February 2016

🔬Data Science: Uncertainty (Definitions)

"The name for a lack of knowledge that can be addressed by obtaining more information, such as by researching an answer, looking it up in reference materials, or collecting data." (M Cameron Jones, "Patchwork Prototyping with Open Source Software", 2007)

"refers to the difference between the amount of information required to perform a given task, and the amount of information already possessed by the organization" (Humbert Lesca & Nicolas Lesca, "Weak Signals for Strategic Intelligence: Anticipation Tool for Managers", 2011)

"A situation where the set of possible outcomes is stochastic in nature. Not to be confused with the concept of Risk defined elsewhere in this glossary." (Kenneth A Shaw, "Integrated Management of Processes and Information", 2013)

"A lack of awareness and understanding of issues, events, path to follow, or solutions to pursue. Uncertainty may increase and amplify issues, risks, behaviors, or situations, which are internal and external to a program or project." (Project Management Institute, "Navigating Complexity: A Practice Guide", 2014)

"this is the state, even partial, of deficiency of information related to, understanding or knowledge of, an event, its consequence, or likelihood" (ISO Guide 73:2009)

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