apriori knowledge 中文意思是什麼
apriori knowledge
解釋
先驗知識, 驗前知識-
In this tutorial three artificial sets of elements will be used : lowercase, uppercase ve xnumber sets. for a human reader it is an easy task to recognize the set an element belongs to. but the computer does not have the apriori knowledge the human has and so the logic would have to be programmed into the handling program
在本教程中，我們假定3個元素集合:小寫字母，大寫字母，以x開頭的數字ve xnumber ，盡管對於人類來說可以很容易的識別一個元素是屬于哪個集合，然而計算機並沒有人類這種演繹能力，因此這樣的邏輯必須要編寫到處理程序里去 -
This part put forward the system conception of kdd and the apriori algorithm. then evolved the create - frequent - set algorithm which was fit for the freight agent management system. because of the shortage of efficiency, 1 improved the algorithm. because some of the items were not boolean variables, 1 need the quantitaitve attributes association rules discovering algorithm. in general, there had the levels among the items, so multilevel association rules existed. after perfecting the algorithmic need interpret and evaluate the knowledge. in the end, 1 discussed the privacy and security of kdd. the fifth part described the future problems and prospect
第四章是論文的主體，著重介紹知識發現的全過程，按照semma方法論首先進行數據準備，然後進入數據挖掘階段，提出知識發現的概念體系和公認的apriori演算法，從該演算法演變出適合於貨代管理系統的生成頻繁項目集的演算法；因為在實際應用中存在效率上的不足，因此進一步地提出了改進方案；在事務處理中各個項目並不都是布爾型變量，因此需要特定的針對多值屬性的關聯規則發現演算法；通常情況下，項目之間存在有層次關系，因此多層次關聯規則的發現普遍存在；演算法完善並運行后需要對發現的知識進行解釋和評估；本章的最後討論了知識發現的私有性和安全性問題；第五章講述有待解決的問題和發展前景。
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