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- W1525276008 abstract "Ordered information is a kind of useful background knowledge to guide a discovery process toward finding different types of novel rules and improving their quality for many real world data mining tasks. In the paper, we investigate ways of using ordered information for gastric cancer data mining, based on rough set theory and granular computing. With respect to the notion of ordered information tables, we describe how to mine ordering rules and how to form granules of values of attributes in a pre/post-processing step for improving the quality of the mined classification rules. Experimental results in gastric cancer data mining show the usefulness and effectiveness of our approaches." @default.
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- W1525276008 date "2002-01-01" @default.
- W1525276008 modified "2023-10-01" @default.
- W1525276008 title "Gastric Cancer Data Mining with Ordered Information" @default.
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- W1525276008 doi "https://doi.org/10.1007/3-540-45813-1_62" @default.
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