srikant 中文意思是什麼

srikant 解釋
斯里坎特
  1. Association rules mining, as the most important subject in data mining, reveals the corelations between itemsets and therefore can be widely applied to many fields such as market basket analysis, corelation analysis, classification, web - customised service, etc. since 1993 when r. agrawal, r. srikant firstly proposed the concept of association rules, a lot of algorithms have come up in mining of association rules

    關聯規則揭示項集間有趣的相聯關系,可廣泛應用於購物籃分析、相關分析、分類、網路個性化服務等領域,是數據挖掘的重要研究課題。自1993年r . agrawal , r . srikant首次提出該問題以來,已出現了許多關聯規則挖掘演算法。
  2. Data mining, association rule, frequent itemset, sample error, multi - scaling sampling references 1 evfimievski a, srikant r, agrawal r, gehrke j. privacypreserving mining of association rules

    已有的研究表明:根據數據庫的特性,動態的選取樣本大小進而獲取可接受的近似關聯規則的自適應取樣方法是解決上述問題的一種好方法。
  3. Heidelberg, germany, april, 2001, pp. 443 - 452. 18 agrawal r, srikant r. fast algorithms for mining associationrules. in

    實驗結果表明,我們的取樣演算法可以快速地得到想要的樣本大小和可接受的近似關聯規則。
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