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Fundamentals of Data Mining

Data Science 101

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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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

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. Business intelligence (BI) leverages data analysis to form actionable insights that inform an organization’s strategic and tactical business decisions.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Machine learning for the detection of oil spills in satellite radar images. 30(2–3), 195–215. link] Ling, C. X., & Li, C. Quinlan, J.

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LSOS experiments: how I learned to stop worrying and love the variability

The Unofficial Google Data Science Blog

“We have just emerged from a terrible recession called New Year's Day where there were very few market transactions,” joked Hal Varian, Google’s Chief Economist, recently. Doing so makes it easier to study the effects of an intervention, say, a new marketing campaign, on the sales of a product.