associative rules 中文意思是什麼
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To solve some existed problems in data mining, the thesis gives out a few resolutions with the new mathematical tool. information theory and multiple statistics are introduced into rough analysis together with rough set theory and other techniques, new results are giving for knowledge discovering, associative rules mining, pattern classification and data cleaning, etc. after a brief summary on data mining and rough set theory, the research works in the thesis can be descript as follows : 1
Rough集理論是一種新型的處理不確定性知識的數學工具，圍繞著數據挖掘領域存在的問題，本文利用rough集理論與rough分析工具，提出若干解決方案，同時在具體處理問題過程中引入了信息理論、因子分析等方法，與rough分析結合使用，討論了rough集技術在知識發現、關聯規則挖掘、模式分類以及數據清洗等問題中的應用。 -
2. to the problem that the data table will be searched many times in mining of associative rules, an algorithm using with equivalence classes concept of rough analysis in the mining of single - dimensional boolean associative rules is introduced. the algorithm uses multiple minimal support thresholds instead of single minimal support threshold to settle with its limitation in the finding of frequent items, which makes the resultant rules set more proficiency, and including more significant rules
針對關聯規則挖掘過程中多次搜索數據表的問題，將rough分析的等效類概念引入到關聯規則挖掘中，針對單維布爾關聯規則問題提出一種挖掘演算法，同時針對單一的最小支持度閾值的缺點，提出使用多個最小支持度閾值來進行頻繁項集挖掘，可使得結果規則集合更加精練，包含更多的有意義規則。
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