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Data Mining

Home » Glossaries » Data Mining

Data Mining

Data Mining:

Data mining is concerned with finding latent patterns in large data bases. The goal is to discover unsuspected relationships that are of practical importance, e.g., in business.

A broad range of statistical and machine learning approaches are used in data mining. See, for example, XLMiner online help for description of the major techniques specific to data mining.

Browse Other Glossary Entries

Courses Using This Term

Cluster Analysis
This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables.
Good to Great
Industry Spotlight: Consulting
Instructor Spotlight: Cliff Ragsdale
Interactive Data Visualization
This course will teach you the principles of the visual display of data both for presentation and analysis data.
NLP and Deep Learning
This course will teach you the algorithms, techniques and software used in natural language processing (NLP).
Predictive Analytics 1 – Machine Learning Tools
This course introduces to the basic concepts in predictive analytics to visualize and explore data to understand the two core paradigms that account for most business applications of predictive modeling: classification and prediction.
Principal Components and Factor Analysis
In this course, you will learn how to make decisions in building a factor analysis model – including what model to use, the number of factors to retain, and the rotation method to use.
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