| Summary: | 碩士 === 國立東華大學 === 資訊工程學系 === 96 === With the rapid development of information technology and the Internet, people increasingly understand to search for data by using the computer. The fast growth of information causes the data to get more enormous. The focus of modern technology is not only to manage the data, but to help users to discover the useful information from huge data and provide personal service. This result also happens to the digital libraries. All the libraries aim to promote the quality of individualized service for the readers by using the technology.
Most of the traditional library supplies the interface to search by the book name, author, book number, publisher, and so on. It is difficult for readers to know if there are books they need, but easy for them to get lost in the search system. Even many books which are worth reading have not been borrowed. For this reason, if the libraries can help readers to obtain information fast, effectively and completely by making good use of the information technology and to recommend related books and get useful library information according to the readers' interest, not only the readers can be helped, but also the availability of the library resources can be strengthened.
This thesis aims at developing a recommending system for readers' book borrowing records via data mining. This system can extract association rules and sequential patterns of books and classes of books. Then it further divides the readers and finds the readers that have the same interest. According to the results provided by the recommending system, readers can fast and effectively obtain the books which meet their expectation, and the service quality of the libraries can be improved.
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