Evalution of dataminig for prediction techniques based on weka tool

Abstract

Data mining is a famous technological innovation that converts piles of data into beneficial knowledge, which can assist the data proprietors/users make knowledgeable choices and take clever movements for their personal advantage. In unique terms, facts mining looks for hidden patterns amongst widespread sets of data that may assist to apprehend, expect, and guide destiny conduct. A greater technical explanation: information mining is the set of methodologies utilized in reading data from diverse dimensions and perspectives, finding formerly unknown hidden styles, classifying and grouping the information and summarizing the diagnosed relationships. The elements of facts mining consist of extraction, transformation, and loading of data onto the statistics warehouse device, handling information in a multidimensional database gadget, offering get right of entry to to commercial enterprise analysts and it experts, reading the records with the aid of tools, and supplying the data in a useful layout, inclusive of a graph or desk. That is completed with the aid of identifying courting using classes, clusters, associations, and sequential patterns by using the use of statistical analysis, gadget leaning and neural networks.