A proposal of clustering techniques applied to a Library Management System

The Library Management System contain a huge number of data related to users, books and movements, such as loans, reservations and inquiries. This stored data can already be used to obtain statistical data relating to books's areas and movements. The incorporation of Data Mining techniques to Libraries Management Systems allows to identify different kind of users and their behavior within the system, which in turn allows to offer a service more according to real information needs. The obtained benefits can improve and increase the access to information, enabling a significant advance on education. Some data mining techniques encompassed in this research include segmentation techniques to define the behavior of the users in Libraries, in addition to the use of recommendation techniques for more efficient interaction with users.

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