An Improved Decision Tree Algorithm Based on Database Query
Proposes an improvement to the core section of ID3 based on the inherent ID3 algorithm.Using the embedded SQL,it directly queries the database and then processes received data,then finally acquires a decision table of classification.It is proved that with the improved ID3 combining the high efficiency of SQL and the flexibility of C language,can achieve the highly efficient and seamless classification of large data,and also greatly improve the processing efficiency.