KDD and Marketing - Data Leaders Brief

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). Data mining can be effectively used in marketing to create customer segments based on their purchasing patterns that can be extracted from behavioral analysis. Common Applications.

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. In market segmentation, this could be useful in detecting an emerging market. Unlike k-means, DBSCAN does not require the number of clusters as a parameter.

Metrics

Metrics KDD Testing Machine Learning

Data Leaders Brief

Fundamentals of Data Mining

Density-Based Clustering

Webinars

Stay Connected