Research on the Application of Multi-source Heterogeneous Data Fusion Analysis Technology in Telecom Fraud Detection

The multi-source heterogeneous data fusion analysis method proposed in this paper exhibits significant advantages over general conventional methods to a certain extent.However, to further enhance this advantage, this paper once again adopts the idea of data fusion, incorporating the results from the previously mentioned blacklist/whitelist filtering module, URL feature detection module, and page feature detection module into the judgment criteria of the detection results.Here, a multi-factor comprehensive scoring module that integrates the detection results of all the above modules is proposed.Of course, the more factors that are considered, the better.However, considering practical workload and predictive analysis, this paper only selects the factors proposed in this paper for consideration.