An Applied Secant Method for Recovered Missing Mass Values in Data Mining

In data mining, the preparation of complete, quality and real is a key prerequisite for successful mining in order to discover something new from already recorded given database. Data extraction fundamental step analysis. with missing values complicate both analysis application solution. To overcome this situation, some Numerical techniques must be used during preparation. With help technical methods, we can retrieve incomplete state huge sequential reduce ambiguities using an applied Secant method. article, present method by which attribute are replaced best adapted value.