KDD, Marketing, Metrics and Reference

Fundamentals of Data Mining

Data Science 101

OCTOBER 31, 2019

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). The models created using these algorithms could be evaluated against appropriate metrics to verify the model’s credibility. The choice of these metrics depends on the nature of the problem.

Data mining

Data mining KDD Data Science Forecasting

Density-Based Clustering

Domino Data Lab

DECEMBER 2, 2020

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. There are 2,000 red data points, and 1,000 blue data points, for reference. In market segmentation, this could be useful in detecting an emerging market.

Metrics

Metrics KDD Testing Machine Learning

Data Leaders Brief

Fundamentals of Data Mining

Density-Based Clustering

Webinars

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