itemsets

常見(jiàn)例句

• The problem of fuzzy constraint in frequent itemset mining is studied.
  摘要研究頻繁項(xiàng)集挖掘中的模糊約束問(wèn)題。
• The famous algorithms to find the frequent itemsets include Apriori and FP-growth.
  經(jīng)典的生成頻繁項(xiàng)目集集合的算法包括Apriori算法和FP-growth算法。
• Discovering frequent itemsets is a key problem in data mining association rules.
  發(fā)現(xiàn)頻繁項(xiàng)目集是關(guān)聯(lián)規(guī)則數(shù)據(jù)開采中的關(guān)鍵問(wèn)題。
• Discovering maximum frequent itemsets is a key problem in many data mining applications.
  發(fā)現(xiàn)最大頻繁項(xiàng)目集是多種數(shù)據(jù)開采應(yīng)用中的關(guān)鍵問(wèn)題 .
• The HCM sketch uses breadth-first search strategy to identify and evaluate the hierarchical frequent itemsets.
  基于該結(jié)構(gòu),利用廣度優(yōu)先查詢策略,查找多層頻繁項(xiàng)集和估計(jì)多層頻繁項(xiàng)值。
• In data mining,IUA algorithm has a problem that the frequent itemsets are not minined completely.
  在關(guān)聯(lián)規(guī)則挖掘中,對(duì)所挖掘出的關(guān)聯(lián)規(guī)則的管理和維護(hù)非常重要。
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