THE INTERESTINGNESS AND ROBUSTNESS OF KNOWLEDGE IN INCREMENTAL DATA MINING

机译：增量数据挖掘中知识的趣味性和鲁棒性

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This paper represents the knowledge with timing rules in incremental data mining, focusing on the interestingness and robustness of knowledge. We can find the interesting knowledge from the confliction between history rules and current rules and the robust knowledge by computing the belief degree of history rules on new data set.

机译：本文用增量数据挖掘中的时序规则来表示知识，重点是知识的趣味性和鲁棒性。通过在新数据集上计算历史规则的置信度，可以从历史规则与当前规则之间的冲突以及健壮的知识中找到有趣的知识。

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来源
《2002 6th International Conference on Signal Processing Proceedings (ICSP'02) Vol.2; Aug 26-30, 2002; Beijing, China》|2002年|p.1203-1206|共4页
会议地点 Beijing(CN);Beijing(CN)
作者
WANG Lihong; ZHANG Bofeng; WU Gengfeng;
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作者单位

The School of Computer Engineering and Technology, Shanghai University, Shanghai, 200072, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
关键词
incremental data mining; robust knowledge; interesting knowledge;

机译：增量数据挖掘;健壮知识;有趣的知识;

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3. Discovering Imperceptible Associations Based on Interestingness: A Utility-Oriented Data Mining [J] . S. Shankar, T. Purusothaman Data science journal . 2010,第2010期

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4. The interestingness and robustness of knowledge in incremental data mining [C] . Wang Lihong, Zhang Bofeng, Wu Gengfeng . 2002

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5. Mining summaries from databases using domain generalization graphs and objective measures of interestingness [D] . Hilderman, Robert J. 2000

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6. From Data towards Knowledge: Revealing the Architecture of Signaling Systems by Unifying Knowledge Mining and Data Mining of Systematic Perturbation Data [O] . Songjian Lu, Bo Jin, L. Ashley Cowart, -1

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7. Guest editor’s introduction: special issue on quality issues, measures of interestingness and evaluation of data mining models [O] . Philippe Lenca, Stéphane Lallich 2015

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8. Utilizing Data and Knowledge Mining for Probabilistic Knowledge Bases [R] . Stein, D. J. 1996

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THE INTERESTINGNESS AND ROBUSTNESS OF KNOWLEDGE IN INCREMENTAL DATA MINING

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