data streams mining
基本解釋
- [計算機科學(xué)技術(shù)]數(shù)據(jù)流挖掘
英漢例句
- 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)庫中存儲了海量的實時數(shù)據(jù),常槼的算法在數(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.
對國內(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。
雙語例句
專業(yè)釋義
- 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.
如何對這些場景中大量的數(shù)據(jù)流實時準(zhǔn)確地進(jìn)行異常檢測以達(dá)到相關(guān)的應(yīng)用需求已成爲(wèi)儅前數(shù)據(jù)流挖掘的研究熱點。