数据挖掘直接面对的是海量数据，且这些数据之间已含着各种繁杂关系．这就导

Data mining directly faces massive amounts of data, and there are various complicated relationships between these data. This leads to a sharp increase in the search space and search dimension in the mining process, and many uncertain factors and interference factors are also increased. However, many mature algorithms are based on memory, which poses a severe challenge to the efficiency of the algorithm.

Data mining directly faces massive data, and there are various complex relationships between these data, which leads to the surge of search space and search dimension in the mining process, and many uncertain factors and interference factors increase. However, many mature algorithms are based on memory, which poses a severe challenge to the efficiency of the algorithm<br>

Data mining is directly faced with massive data, and there are various complicated relationships among these data, which leads to a surge in search space and search dimension in the mining process, and many uncertain factors and interference factors are also increasing. However, many mature algorithms are based on memory, which poses a severe challenge to the efficiency of the algorithms.