The Research On The Library Intelligent Book Inquires System Based On Association Rules

Along with the increasing popularity of the computer technology andinformation technology, the university library computer management has alsogotten very extensive application; the traditional library patterns graduallychange into digital libraries, and digital library has the characteristics of largeinformation, small space, faster speed and not limited by time, and thuspeople take much more attention to it. Although the digital library providesreaders with more efficient services, but for a reader who may not beinterested in various forms of the massive information resources of digitallibrary, difficult choosing became nowadays the main obstacle for readers toread literature.Through the investigation of the integrated management system in mostof the domestic university libraries, the author discovered that only asbusiness management and information retrieval, books management systemcan neither be found in the data existing relationship and rules, nor predict the personalized needs of readers via the existing data. It is worth studying toapply association rule mining method to book circulation data analysis, tomine and discover that the implied law of readers in the borrowing behavior,and to provide readers with intelligent books recommend service.Association rules are to mine valuable data correlation from a lot ofdata, which reflects one thing and other things mutual dependence andconnection relationship; if there is certain relationship between two things ormore, one of the things can be predicted through other things. Because theclassic association rules methods and the corresponding algorithm have a lotof problems, they are limited in the actual application. Classic associationrules methods have many disadvantages and limitations, the classicassociation rules method related definition originated from the supermarketshopping of knowledge discovery, so it can only be applied in thesupermarket shopping or similar field. For other application fields, frequentitem set definition has a serious defect, if applying the definition, thegeneration of frequent item set is easily to be interfered and produce someinvalid rules. Classic association rule generation algorithm is of high time complexity, and the processing of the mass information need efficientalgorithm, contradictions exist between them.The purpose of this topic is through the study and research on the datamining association rules and related theory, to introduce association rulesmining technology into the university library reader service, and to researchon the intelligent books inquires algorithm based on the integratedmanagement system in the library. In the implementation study, according tothe disadvantages of the association rules, library should set up classicassociation rules equivalent methods related definition based on associationrules of the library book intelligent query system, put forward the completefrequent item set definition, and define the efficient association rulegeneration algorithm. According to the test data of a university libraryborrowing historical records, applying association rules technology to do datamining, based on mining results of borrowing data analysis, finding out thebooks with strong correlation; and according to the reader’s borrowed record,recommending other related books to the reader, the library can realize theintelligence of books inquire and personalized recommendation service.