data streams mining

基本解釋

• [計(jì)算機(jī)科學(xué)技術(shù)]數(shù)據(jù)流挖掘

英漢例句

雙語(yǔ)例句

• Clustering is an important task in mining evolving data streams.
  聚類是挖掘數(shù)據(jù)流的一種重要工具。
• The conventional method can not cluster on the basis of the characteristics of spatial data streams in the data mining process.
  空間數(shù)據(jù)庫(kù)中存儲(chǔ)了海量的實(shí)時(shí)數(shù)據(jù)，常規(guī)的算法在數(shù)據(jù)挖掘過程中無法根據(jù)空間數(shù)據(jù)流的特征進(jìn)行聚類。
• By analyzing data streams outliers mining situation of foreign and domain, we found that there exist many problems in the previous algorithms for detecting outliers.
  對(duì)國(guó)內(nèi)外數(shù)據(jù)流離群數(shù)據(jù)挖掘研究情況分析可知，以往的挖掘算法還存在諸多問題。

• data streams mining更多例句

詞組短語(yǔ)

短語(yǔ)

• General data -streams-mining federate 通用數(shù)據(jù)流挖掘成員

• data streams mining更多詞組

專業(yè)釋義

計(jì)算機(jī)科學(xué)技術(shù)

• 數(shù)據(jù)流挖掘

  How to make accurately outlier detection in real-time to data in these scenes and achieve the relevant application requirements has become a hot research topic in data streams mining.
  如何對(duì)這些場(chǎng)景中大量的數(shù)據(jù)流實(shí)時(shí)準(zhǔn)確地進(jìn)行異常檢測(cè)以達(dá)到相關(guān)的應(yīng)用需求已成為當(dāng)前數(shù)據(jù)流挖掘的研究熱點(diǎn)。