Efficient Algorithm for Mining Frequent Patterns over Offline Data Streams
一种高效的离线数据流频繁模式挖掘算法

Mining frequent patterns from data streams is one of the hottest research topics in data mining nowadays.The features of data streams,such as consecution,disorder and real-time,raise requirements for higher time and space performance of mining algorithms.Vibration of pattern frequency in data streams,compels the present algorithms to revise the synopsis structure continually,and leads up to disadvantage impact on both time and space efficiency.A more scalable synopsis structure SP-tree was designed firstly,...