Problem Definition, goal and Importance:
[persian]
Because of growing amount of data in enterprise systems and the growing need to get valuable information and knowledge from them, data mining has been introduced to satisfy this need. In fact data mining is a part of knowledge discovery which useful and hidden patterns are searched in it [3]. Growth in use of geographical information systems has provided access to huge data bases of this information. Data mining on data which has one or some spatial or geographical characteristics is called spatial data mining [1], [2], [4]. And the result is information which has spatial and geographical characteristics like, position, direction, distance, and etc.
Our goal is to perform a sophisticated data mining method on the spatial data in Mellat bank which will be mixed with information like, branch address, income, benefit, number of employees, and etc.
after preparing the data for data mining processes including Data processing and cleaning and building data warehouses, we must implement an algorithm for extracting the association rules and use it for finding the relations between different spatial values like, population, region, age, income, education, and situation of competitors, Besides banking index like income, benefit, and efficiency. Information extracted from this process can help the managers in their decisions.
