Data-mining algorithm (DA): easy to issue books from college library

Data-mining Algorithms (DAs) are well-known for discovering large itemsets from mass-circulation and transactional databases. With the wide-range application of database system, a historical data is accumulated in the college library. Here, data-mining association rules are applied for discovering useful knowledge in the data analysis. This paper describes the Index of recommended books. To provide the useful information about books to the reader, a model is proposed. In order to meet the requirement of book recommendation services, we applied the improved algorithm to mine association rules from circulation database in the college library. The proposed model can also be used in other fields, such as, bookshelf, information retrieval system, book name, Author database etc.