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简介:《基于不确定性建模的数据挖掘(英文版)》的英文简介如下:
Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise,incomplete or noisy. Uncertainty Modeling for Data Mining A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing anduncertainty reasoning.
《基于不确定性建模的数据挖掘(英文版)》由秦曾昌、汤永川编著。