Chen G, Wei Q, and Kerre E 2000 Fuzzy data mining: Discovery of fuzzy generalized association rules. In Bordogna G and Pasi G (eds) Recent Issues on Fuzzy Databases. Heidelberg, Phys- ica-Verlag: 45 - 66Chen, G., Wei, Q., & Kerre, E. (2000). Fuzzy data mining: Discovery of ...
Klein, Y., Pery, R., Komem, J., Kandel, A.: Fuzzy data mining. Int. Ser. Intell. Technol. 15 , 131–152 (2000)Y. Klein, R. Pery, J. Komem, A. Kandel, H. -N. Teodorescu, D. Mlynek, A. Kandel and H. -J. Zimmermann Intelligent Systems and Interfaces , pp....
The Application of Fuzzy Data Mining in E-government; 模糊数据挖掘在电子政务中的应用 更多例句>> 3) fuzzy mining 模糊挖掘4) data mining model 数据挖掘模型 1. The paper gives a data mining model in the fire protection system. 介绍了数据挖掘技术的概念及功能 ,并结合消防的现状讨论了数据挖...
求翻译:fuzzy data mining是什么意思?待解决 悬赏分:1 - 离问题结束还有 fuzzy data mining问题补充:匿名 2013-05-23 12:21:38 正在翻译,请等待... 匿名 2013-05-23 12:23:18 模糊数据挖掘 匿名 2013-05-23 12:24:58 模糊的数据采集 匿名 2013-05-23 12:26:38 模糊数据挖掘 匿名 201...
aI support with you 正在翻译,请等待...[translate] aNeuro-fuzzy Data Mining for Target Group Selection in Retail Banking 神经模糊的数据采集为目标群选择在零售业[translate]
Data mining is most commonly used in attempts to induce association rules from transaction data. Transactions in real-world applications, however, usually consist of quantitative values. This work thus proposes a fuzzy data-mining algorithm for extracting both association rules and membership functions ...
awe can chat 12:00 midnight china time? 我们可以聊天12:00午夜瓷时间?[translate] a你说的是供货情况 You said are the goods supply situation[translate] aIntelligent phishing detection system for e-banking using fuzzy data mining 正在翻译,请等待...[translate]...
The different criteria are usually used in real data min- ing,in our study of finding the living pattern of customers in hotels,we adopt fuzzy data mining that combine Apriori al- gorithm with different min-support and min-confidence and fuzzy set theory to copy with the criteria,the yielde...
Data mining is very popular recently due to lots of analysis applications of big data. A well-known algorithm for mining association rules from transactions is the Apriori algorithm. Because transactions may include quantitative values, fuzzy sets which
Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases. In fuzzy data mining, the membership functions have a critical influence on the final mining results. How to effectively decide the membership functions in fuzzy data mining thus becomes...