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Data Mining Use Cases

TDAN

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point.

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Business Intelligence System: Definition, Application & Practice

FineReport

Through this way, it can support current corporate analysis and future decision or strategy making. Data Warehouse. Data warehouse includes the process of collecting all the data needed. Data Mining. In practical applications, data mining is also used to mine the past and predict the future.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

propose a different strategy where the minority class is over-sampled by generating synthetic examples. The class imbalance problem: Significance and strategies. Data mining for direct marketing: Problems and solutions. Data mining for direct marketing: Problems and solutions. C., & Matwin, S.