WHAT IS KDD?
KDD PROCESS is the manner of data mining and it is used to get knowledge from the data. KDD technique have steps which are defined below. In this article, you will additionally get to understand the procedures of the KDD process with a suitable diagram.
KDD stands for KNOWLEDGE DISCOVERY IN DATABASE.
► It refers to the extraction of implicit, previously unknown and gets information that is stored in the Database.
► The Knowledge Discovery In Database process is used to get the knowledge from the data.
► The KDD refers to Machine Learning, Artificial Intelligence, NLP Process Data Mining, etc.
KDD PROCESS WITH SUITABLE DIAGRAM: DATA MINING is as follow:
The Six Steps which the KDD Process IN DATA MINING follows is as follows. :
- DATA CLEANING
- DATA INTEGRATION
- DATA SELECTION
- DATA TRANSFORMATION
- DATA MINING
- PATTERN EVOLUTION
- KNOWLEDGE REPRESENTATION
All the process in brief:
1. DATA CLEANING IN KDD PROCESS
This step is used to clean the data from the database. It will clean all the unnecessary data that have no meaning in that given data. Data that contain stop words are cleaned in this process.
2. DATA INTEGRATION IN KDD PROCESS
This step is used to integrate the data.
3. DATA SELECTION IN KDD PROCESS
This step is used to select the appropriate data.
4. DATA TRANSFORMATION
It is used to transform the data
5. DATA MINING
The mining process of the data
6. PATTERN EVOLUTION:
In this step, the patterns will be evaluated from the data.
7. KNOWLEDGE REPRESENTATION:
In this step, it represents the Knowledge From the Data.
I hope u like the article KDD PROCESS WITH SUITABLE DIAGRAM: DATA MINING.
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NOTE: IN EXAM THE QUESTION WILL BE LIKE THIS:
- EXPLAIN KDD PROCESS WITH SUITABLE DIAGRAM.
- WHAT IS KDD PROCESS?
- EXPLAIN KNOWLEDGE DISCOVERY IN DATABASE WITH BRIEF.
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