FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Knowledge Discovery in Databases (KDD) is the process of automatic discovery of previously unknown patterns, rules, and other regular contents implicitly present in large volumes of data. Data Mining (DM) denotes discovery of patterns in a data set previously prepared in a specific way.

Detailed explanation-2: -Knowledge discovery refers to the overall process of discovering useful knowledge from data, while data mining refers to the extraction of patterns from data.

Detailed explanation-3: -What is knowledge mining? Knowledge mining is an emerging discipline in artificial intelligence (AI) that uses a combination of intelligent services to quickly learn from vast amounts of information.

Detailed explanation-4: -Data mining, or knowledge discovery, is a process of discovering patterns that lead to actionable knowledge from large data sets through one or more traditional data mining techniques, such as market basket analysis and clustering.

Detailed explanation-5: -Data Mining also known as Knowledge Discovery in Databases, refers to the nontrivial extraction of implicit, previously unknown and potentially useful information from data stored in databases.