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Original Article Health Inform Res. 2010 June;16(2):67-76. DOI: 10.4258/hir.2010.16.2.67 ISSN 2093-3681 ISSN 2093-369X Classification and Sequential Pattern Analysis for Improving Managerial Efficiency
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What is classification and sequential pattern?
Classification is the process of categorizing data into different groups based on certain criteria. Sequential pattern mining is the identification of frequently occurring patterns or sequences in data.
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The process of filling out classification and sequential pattern may involve collecting relevant data, selecting appropriate classification criteria or pattern mining algorithms, and applying them to the dataset to generate the desired results.
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The purpose of classification and sequential pattern is to organize and analyze data in order to gain insights, make predictions, or identify patterns or trends that may be useful for decision-making or problem-solving.
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The specific information that needs to be reported on classification and sequential pattern may depend on the requirements set by the regulatory authorities. It may include data attributes, classification labels, support or confidence values, and other relevant information.
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