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- W62488488 abstract "AbstractData preprocessing includes data cleaning, data integration, data transformation and data reduction. Data cleaning is aimed to remove unrelated or redundant items through two processes. Data integration includes three main problems and each of them can be solved by kinds of methods. Data transformation includes data generalization and property construction and standardization. Three algorithms can be used to normalize the data. The last step data reduction is used to compress the data in order to improve the quality of mining models. All these four steps are interrelated to each other and shouldn’t be separated. They work together to improve the final result of data mining.KeywordsData preprocessingcleaningintegrationtransformationreduction" @default.
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- W62488488 date "2012-01-01" @default.
- W62488488 modified "2023-09-23" @default.
- W62488488 title "Data Preprocessing for Web Data Mining" @default.
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- W62488488 doi "https://doi.org/10.1007/978-3-642-28658-2_47" @default.
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