University of Kentucky 3 credits Marketing
Data mining is concerned with tools and techniques to numerically and visually explore vast data sets, classify data, predict outcomes, and identify associations, patterns, and exceptional events. Such capabilities enable firms to β for example β better segment markets, evaluate and classify stocks, identify prospective customers, predict contingencies and catastrophes, identify defaulters and fraudulent transactions, measure churn, identify threats, perform service requests, and bundle goods and services. Such capabilities are critical in global, competitive business settings. This course is an introduction to the rapidly blossoming field of Data Mining. Prereq: AN 300. (Same as AN 420G.)
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.