The accurate estimation of the amount of suspended sediment of rivers is important in water resourcesengineering because sediment in rivers can also shorten the lifespan of dams and reservoirs. For this purpose, themodels are developed to estimate suspended sediment of Kızılırmak River using the data mining process. Theriver flow values are used as input parameter by developing sediment models. The most appropriate model isobtained by the M5’Rules algorithm. The determination coefficient of the model is obtained as 0.66 and it isobserved that the data mining process can be used to estimate suspended sediment of rivers in hydrology field.