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Blast furnace (BF) ironmaking process is a typical complex nonlinear industrial process. Aiming at the problem that the relationship between the operating parameters and the main production indicators in BF ironmaking process mainly depends on the subjective experience of the specialized operators and experts, and is difficult to be inherited and studied later, this paper introduces data mining technology...
In this study, we investigate the problem of status sequential pattern mining (SSPM) based on frequent status set for failure prediction. We present a general sequential pattern mining framework with new definitions (e.g., frequent status itemset) and redefinitions (e.g., Sequence, Sequential Pattern) on sequential patterns for the field of failure prediction with multiple status items monitored....
High utility itemsets mining is another hot topic besides association rule in data mining field. It considers not only item's support values but also the quantities and profit. In current research, all algorithms mining high utility itemsets are based on candidate set generation-and-test category where too many candidates will be generated and tested. In this paper, an algorithm-DHUI based on PHUI-Tree...
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