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This data alone does not make any sense unless it’s identified to be related in some pattern. Datamining is the process of discovering these patterns among the data and is therefore also known as KnowledgeDiscovery from Data (KDD). Machine learning provides the technical basis for datamining.
Business intelligence (BI) leverages data analysis to form actionable insights that inform an organization’s strategic and tactical business decisions. DataMining. In practical applications, datamining is also used to mine the past and predict the future. DASHBOARD REPORTING (by FineReport).
For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledgediscovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. It can produce a variety of complex reports.
For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Proceedings of the 13th ACM SIGKDD international conference on Knowledgediscovery and datamining. Proceedings of the 23rd ACM SIGKDD International Conference on KnowledgeDiscovery and DataMining.
References [1] Omkar Muralidharan, Amir Najmi "Second Order Calibration: A Simple Way To Get Approximate Posteriors" , Technical Report, Google, 2015. [2] Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on KnowledgeDiscovery and DataMining (KDD), 2013. [3]
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