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- W2803580816 abstract "ABSTRACT: Cost-sensitive classification considers the varying costs of particular incorrect sorting. Both cost-sensitive classification and online learning have been broadly researched in data mining and machine learning communities, respectively. However, very restricted study addresses an essential intersecting issue, that is, “Cost-Sensitive Online Classification. Cost of what is misclassified is definitely not considered for the measuring execution in general methodologies; cost sensitive classification considers expense of the misclassified label. In this paper we proposed, formally study this issue, and propose a new framework for Cost-Sensitive Online Classification by directly surging cost-sensitive symptoms implementing online gradient descent methods. malicious Uniform Resource Locator (URL) detection is an essential issue in web search and mining, which plays a complex role in internet protection." @default.
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- W2803580816 date "2016-12-01" @default.
- W2803580816 modified "2023-09-28" @default.
- W2803580816 title "A Process For Online Dynamic Learning With Cost Sensitivity In Data Mining" @default.
- W2803580816 hasPublicationYear "2016" @default.
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