distributed data stream mining

基本解釋

In addition, the business data stream is continuous, conflict, timing, massive and distributed, so traditional data mining techniques can not be applied directly to the business data stream.
而商業(yè)數(shù)據(jù)流除了具備數(shù)據(jù)流的基本特點外，還具備連續(xù)性、沖突性、時間性、海量性和分佈性等特性。因此傳統(tǒng)的數(shù)據(jù)挖掘技術(shù)不能直接應(yīng)用到商業(yè)數(shù)據(jù)流上。