Abstract: Frequent itemset mining (FIM) is a highly resource-demanding data-mining task fundamental to numerous data-mining applications. Support calculation is a frequently performed ...
Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...
Cipher Mining Inc. (CIFR) recently entered the AI data center race with major deals with hyperscaler customers. The bitcoin miner is part of a group of companies transitioning from running data ...