[PDF] attributes of data mining

Data Mining: Data Attributes and Quality
  • 1]Nominal Data: This type of data is also referred to as categorical data.
  • 2]Ordinal Data: This type of data is also categorical, but with an inherent order or hierarchy.
  • 3]Binary Data:
  • 4]Interval Data:
  • 5]Ratio Data:
  • 6]Text Data:
  • Incompleteness:
  • Inconsistency:
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  • What are the 4 types of attributes in data mining?

    Four main types of attributes: Ordinal Attributes
    An ordinal attribute is an attribute with possible values that have a meaningful order or ranking among them, but the magnitude between successive values is not known.

  • How many types of attributes are there in data mining?

    The objective of attribute importance is to find out which attributes in the data set are related to the result, and the degree to which they influence the final outcome. The Oracle Attribute Importance node analyzes data, finds patterns, and predicts outcomes or results with an associated level of confidence.

  • Why are attributes important in data mining?

    Data objects are typically described by attributes. Data objects can also be referred to as samples, examples, instances, data points, or objects. If the data objects are stored in a database, they are data tuples.
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