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Personalized Service Of The University Library Management System Design And Implementation

Posted on:2011-12-09Degree:MasterType:Thesis
Country:ChinaCandidate:L Y XuFull Text:PDF
GTID:2218330368494329Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The informative and automation of library provided new opportunities for the traditional library service.The library faces user's demand of information and styles more and more diversify. Their requirements of the types of literature also become more and more extensive .Therefore, using personalized information service becomes the new development trend.This paper adopts a private universities existing library management system, using the data mining based on basic theory and algorithm guidance, to realize the university library books retrieval system of personalized service function, library management personalized service and purchasing management personalized service, and other functions, main functional modules have books recommended, readers borrowing history management, library CeCi statistics and library classification of statistics, etc.Firstly, this passage introduced the development of the books management system management system (MIS) and the shortcomings in MIS, puts forward the introduction of data mining technology and its significance, and also introduces the related knowledge of data mining.Then, from the reality of a private university library .According to the school teachers'and students'different demand of using the data mining technology for the collection, storage, log analysis and personalized service and realize the user management in library management feasible scheme.Then, using object-oriented design ideas, using the method of software engineering, combined with a private universities library management and the actual situation of requirement analysis, and the traditional MIS and data mining technology combining completed function design, process design and module design and realization.Finally, make a summary of a opened up library management system of a certain university.
Keywords/Search Tags:Data mining, Library informatization, Personalized services, Apriori algorithm, K - Means algorithm
PDF Full Text Request
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