data streams mining

常見例句

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(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。