The knowledge discovery in databases or KDD process is an iterative process. It involves web scraping, cleaning and transformation of data that come from databases & other heterogeneous sources, such as plain text, data warehouses, images, sound, etc.. The KDD process in data mining helps in filtering models or patterns that can become an insight or solution or strategy. The feasibility should be there because it is must for any models used in data mining algorithms. These models are tried and tested before, ensuring their validity and usability. Modern businesses and data world has adopted it for bring a big change. It is possible through digitalization of data. With it, the effective strategies can be figured out for processing in a fast turnaround time.
Read full Article
Read full Article