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Data Mining:
Concepts and Techniques
Chapter 2 1Chapter 2: Getting to Know Your Data Objects and Attribute Hyperbaric Statistical Descriptions of Metadata VisualizationMeasuring Data Similarity and
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01
Identify the data objects that need to be represented.
02
Determine the attributes that describe each data object.
03
Create data fields for each attribute within the data objects.
04
Populate the data fields with relevant information for each attribute.
05
Ensure that each data object is linked to the appropriate attributes.
Who needs data objects and attribute?
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Software developers who are designing databases or data models.
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Data analysts who are analyzing and interpreting data.
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Business professionals who are making strategic decisions based on data insights.
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What is data objects and attribute?
Data objects are the basic units of information that are represented in a database. Attributes describe the characteristics of the data objects.
Who is required to file data objects and attribute?
Entities that collect, process, or store personal data are required to file data objects and attribute.
How to fill out data objects and attribute?
Data objects and attributes can be filled out by providing accurate and detailed information about the data being collected, processed, or stored.
What is the purpose of data objects and attribute?
The purpose of data objects and attributes is to ensure transparency and accountability in the handling of personal data.
What information must be reported on data objects and attribute?
Information such as the type of data being collected, the purpose of data collection, data retention period, and security measures must be reported on data objects and attribute.
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