Data mining. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures,...Why is data mining a misnomer?
The term "data mining" is a misnomer, because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction ( mining) of data itself. It also is a buzzword and is frequently applied to any form of large-scale data or information processing ( collection, extraction, warehousing, analysis,...What is data mining from a to Z?
Learn more about data mining techniques in Data Mining From A to Z, a paper that shows how organizations can use predictive analytics and data mining to reveal new insights from data. Data mining is a cornerstone of analytics, helping you develop the models that can uncover connections within millions or billions of records.Who coined the term'data mining'?
The term "data mining" was used in a similarly critical way by economist Michael Lovell in an article published in the Review of Economic Studies 1983. Lovell indicates that the practice "masquerades under a variety of aliases, ranging from "experimentation" (positive) to "fishing" or "snooping" (negative).