Data mining standards initiatives
Communications of the ACM - Evolving data mining into solutions for insights
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It is convenient to divide data into structured data, semi-structured data and unstructured data. By structured data, we mean data that is organized into fields or attributes. Examples include database records. Semi-structured data has attributes but does not have the regularity of structured data. Data defined by HTML or XML tags are examples of semi-structured data. Unstructured data lacks attributes or fields and includes text data, signals, images, video, audio or similar data. Of course, data may be a combination of one or more of these types. For example, the content of a message can be unstructured text and the metadata semi-structured XML tags.