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Data Integration in Data Mining Example

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Published on 2023-02-06
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Integration of data is the process of combining data from various sources. Data redundancy, inconsistency, duplication, etc., must be addressed during the data integration process. Data integration is a record preprocessing method used in data mining to retain and provide a unified perspective on the data. Several record cubes, databases, or sheets of paper could also be included here. Statistical integration is formally stated as a threepronged strategy. The letters G and S stand for global and heterogeneous schema sources, respectively; the letter M stands for query mapping between the two.
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Data Integration in Data Mining Example
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