Knowledge Discovery in Databases

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Questions and Answers

What is the first step in the Knowledge Discovery (KDD) process?

Data cleaning

Name a step in the KDD process that involves combining data from multiple sources.

Data integration

Which step focuses on retrieving data relevant to the analysis task from a database?

Data Selection

What is the purpose of the data transformation step in KDD?

<p>To transform and consolidate data into appropriate forms for mining</p> Signup and view all the answers

In the KDD process, which step applies intelligent methods to extract data patterns?

<p>Data mining</p> Signup and view all the answers

What is the pattern evaluation step used for?

<p>To identify truly interesting patterns representing knowledge</p> Signup and view all the answers

Name the step in the KDD process where visualization techniques might be used.

<p>Knowledge presentation</p> Signup and view all the answers

Which step in the KDD process comes after data mining?

<p>Pattern evaluation</p> Signup and view all the answers

In what step of the KDD process is noise removed from the data?

<p>Data cleaning</p> Signup and view all the answers

What operations are performed during the data transformation step?

<p>Summary or aggregation operations</p> Signup and view all the answers

Flashcards

What is data cleaning?

The process of removing noise and correcting inconsistencies from data to ensure quality and reliability for further analysis.

What is data integration?

Combining data from multiple sources into a unified dataset for a more comprehensive view.

What is data selection?

The stage where only the data relevant to the analysis task are retrieved from the database.

What is data transformation?

Transforming and consolidating data into a format suitable for data mining through summary or aggregation.

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What is data mining?

Applying intelligent methods to extract data patterns or knowledge from the transformed data.

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What is pattern evaluation?

Identifying and filtering the most valuable patterns that represent real knowledge, based on specific measures.

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What is knowledge presentation?

Presenting mined knowledge to users using visualization and knowledge-representation techniques for understanding.

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Which steps in the KDD process prepare data for mining?

Data cleaning, data integration, data selection, and data transformation.

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Which steps in the KDD process focus on extracting and using knowledge?

Data mining, pattern evaluation, and knowledge presentation.

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What are the stages of the Knowledge Discovery (KDD) process in order?

Data cleaning, data integration, data selection, data transformation, data mining, pattern evaluation, and knowledge presentation.

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Study Notes

  • Knowledge Discovery in Databases is a process that turns low-level data into high-level knowledge.
  • Data cleaning removes noise and inconsistent data.
  • Data integration combines multiple data sources.
  • Data selection retrieves data relevant to the analysis task.
  • Data transformation transforms and consolidates data into forms appropriate for mining by performing summary or aggregation operations
  • Data mining applies intelligent methods to extract data patterns or knowledge.
  • Pattern evaluation identifies the interesting patterns representing knowledge based on interestingness measures.
  • Knowledge presentation uses visualization and knowledge representation techniques to present mined knowledge to users

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