About this document
KDD Process in Data Mining Explained by fwchu1111 is a document available to read on EtoBox.
The document discusses the KDD process, which involves extracting valuable information from large datasets through steps like data cleaning, integration, selection, transformation, mining, and pattern evaluation. It highlights the advantages and disadvantages of KDD, including improved decision-making and privacy concerns. Additionally, it covers the impact of big data on businesses and society, emphasizing the need for skilled data professionals and the importance of data visualization techniques.
- Author
- fwchu1111
- Language
- EN