quantitative association rules

基本解釋

Interest measure and algorithm of produce frequent itemsets are given for mining quantitative association rules.
給出為挖掘定量關(guān)聯(lián)規(guī)則所需的興趣度量及常項(xiàng)集產(chǎn)生的算法。
A novel algorithm, QAR, for mining quantitative association rules and an incremental updating algorithm, IUQAR, are proposed.
提出了一種新的量化關(guān)聯(lián)規(guī)則挖掘算法QAR及其增量式更新算法IUQAR 。
In the algorithms of association rules of the efficiency of boolean association rules is low and the quality of quantitative association rules is not very good.
在關(guān)聯(lián)規(guī)則挖掘算法中，布爾關(guān)聯(lián)規(guī)則挖掘的效率還不是很理想，而且數(shù)量關(guān)聯(lián)規(guī)則所挖掘出的規(guī)則的質(zhì)量還有待提高；

quantitative association rules mining 關(guān)聯(lián)規(guī)則挖掘
such quantitative association rules 數(shù)量聯(lián)系規(guī)則
mining quantitative association rules 數(shù)量型關(guān)聯(lián)規(guī)則
inter -transactional quantitative association rules 事務(wù)間量化關(guān)聯(lián)規(guī)則

數(shù)值型關(guān)聯(lián)
The rules mined by the quantitative association rules algorithms based on the trapezium梒loud model is effective and understandable, so we can find out more meaningful knowledge from the data.
在此基礎(chǔ)上給出的數(shù)量型挖掘算法得到的數(shù)值型關(guān)聯(lián)規(guī)則具有有效性和可理解性，能夠從數(shù)據(jù)中挖掘出更有意義的知識(shí)。
多值屬性關(guān)聯(lián)
The critical of quantitative association rules problem to boolean association rules problem changing is how to divide the sections.
如何劃分區(qū)段是實(shí)現(xiàn)多值屬性關(guān)聯(lián)規(guī)則問(wèn)題到布爾型關(guān)聯(lián)規(guī)則問(wèn)題轉(zhuǎn)變的關(guān)鍵。