Data Mining: Application, Handling and Future
Data mining is a chunk of a process/procedure called KDD stands for knowledge discovery in current databases. This practice entails fundamentally of phases that are accomplished earlier/before performing data mining, such as data assortment, data clean-up, pre-processing, and data renovation. Association rule methods are utilized for data mining if the objective is to discover relationships/associations between specific/particular values of uncompromising variables in bulky data sets. There might be thousands or millions of records that have to be comprehended and to take out the procedures for, but the issue is what will ensue if there is novel data, or there is a necessity to amend or obliterate some or all the prevailing set of data during the process of data mining.