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→Knowledge discovery
数据可视化
数据可视化
--[[用户:趣木木|趣木木]]（[[用户讨论:趣木木|讨论]]）这里很棒 补充出“数据”这个限定词
Data gathering and processing requires access to data and has several inherent issues, including [[information overload]] and data errors. Once data is collected, it will need to be transformed into a format that can be effectively used by both human and computer analyzers. Manual or computer-generated visualizations tools may be mapped from the data, including network charts. Several algorithms exist to help with analysis of data – [[Dijkstra's algorithm|Dijkstra’s algorithm]], [[breadth-first search]], and [[depth-first search]].
Data gathering and processing requires access to data and has several inherent issues, including [[information overload]] and data errors. Once data is collected, it will need to be transformed into a format that can be effectively used by both human and computer analyzers. Manual or computer-generated visualizations tools may be mapped from the data, including network charts. Several algorithms exist to help with analysis of data – [[Dijkstra's algorithm|Dijkstra’s algorithm]], [[breadth-first search]], and [[depth-first search]].