KDD PROCESS IN DATA MINING| EASY TRICK |KNOWLEDGE DISCOVERY IN DATA | Data Mining Lectures
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4 سال پیش
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Here is the list of
Here is the list of steps involved in the knowledge discovery process:
• Data Cleaning − In this step, the noise and inconsistent data are removed.
• Data Integration − In this step, multiple data sources are combined.
• Data Selection − In this step, data relevant to the analysis task are retrieved from the database.
• Data Transformation − In this step, data is transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations.
• Data Mining − In this step, intelligent methods are applied in order to extract data patterns.
• Pattern Evaluation − In this step, data patterns are evaluated.
• Knowledge Presentation − In this step, knowledge is represented.
• Data Cleaning − In this step, the noise and inconsistent data are removed.
• Data Integration − In this step, multiple data sources are combined.
• Data Selection − In this step, data relevant to the analysis task are retrieved from the database.
• Data Transformation − In this step, data is transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations.
• Data Mining − In this step, intelligent methods are applied in order to extract data patterns.
• Pattern Evaluation − In this step, data patterns are evaluated.
• Knowledge Presentation − In this step, knowledge is represented.
4 سال پیش
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