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(guò)程中無(wú)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(wèn)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)。