[amp_mcq option1=”data” option2=”knowledge” option3=”rules” option4=”model” correct=”option2″]<\/p>\n
The correct answer is B. knowledge<\/strong>.<\/p>\n Knowledge Discovery in Databases (KDD) is a process that uses data mining and other techniques to extract knowledge from data. Knowledge can be defined as a justified true belief. It is a valuable asset that can be used to make better decisions, improve products and services, and understand the world around us.<\/p>\n Data is the raw material that KDD uses to extract knowledge. Data can be structured or unstructured. Structured data is data that is organized in a defined format, such as a table or a spreadsheet. Unstructured data is data that is not organized in a defined format, such as text, images, or videos.<\/p>\n Data mining is a process that uses statistical, mathematical, and machine learning techniques to extract patterns from data. Data mining can be used to find patterns in data that are not obvious to humans.<\/p>\n KDD is a multi-step process that includes the following steps:<\/p>\n KDD is a powerful tool that can be used to extract knowledge from data. However, it is important to note that KDD is not a magic bullet. It is a complex process that requires careful planning and execution.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”data” option2=”knowledge” option3=”rules” option4=”model” correct=”option2″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-53853","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n\n