Method of Data Mining Model Verification
1. Verification model:
It takes a hypothesis from the user and tests the validity of it against the data. The user has to come across the facts about the data using a number of techniques such as queries, multi-dimensional analysis and visualization to the guide to the exploration of the data being inspected.
2. Discovery model:
Knowledge discovery is the concept of analyzing large amount of data and gathering out relevant information leading to the knowledge discovery process for extracting meaningful rules, patterns and models from data.
Data mining is one of the steps (seventh) and the KDD process is basically the search for patterns of interest in a particular representational form or a set of these representations.