Application Scenarios

**Table 1** Application scenarios of the algorithm library
Algorithm Type	Applicable To
Algorithm Type	Carrier	Government	Finance	Energy	Transportation
Classification and Regression	Segmentation of customers wishing to port their numbers Identification of high-value customers Fault detection and prediction Risk assessment	Abnormal transaction monitoring Identification of suspicious customs warehouse receipts Employment situation analysis	Customer credit assessment Transaction fraud detection Credit card approval modeling	Energy scheduling optimization Energy requirement modeling Classification of electric power industry customers	Traffic congestion analysis Object trajectory prediction Vehicle surveillance deployment
Feature Engineering	Extraction of key subscriber features Extraction of user credit characteristics Risk assessment model data engineering	Talent demand forecast Project cost forecast Analysis of regional economic differences	Asset risk value model analysis Stock portfolio analysis	Abnormal base station monitoring Correlation analysis of energy supply and demand changes	Traffic sign image recognition Road safety prediction Periodic traffic characteristics extraction
Clustering	Subscriber package adaptation Customer family group identification Customer group analysis	Detection of poverty-stricken group Network public opinion analysis Customs declaration commodity analysis	Stock clustering Loan risk management Insurance fraud monitoring	Power load clustering Customer value clustering Device clustering	Thermal analysis of transportation sites Checkpoint data governance Traffic hot spot identification
Recommendation	Service recommendation Precise campus marketing	Performance analysis of innovation subsidy Public satisfaction evaluation modeling	Intelligent apps recommendation Participating life insurance pricing Investor sentiment measure	Recommendation of power purchase plans Electric power knowledge association recommendation	Dangerous driving behavior detection Similar route recommendation

Parent topic: Feature Description