Applied Research In The Library Personalized Service In Data Mining

At present library information level and accumulated business data increase dramatically, which provides basis for data mining. By analyzing fuzzy business data and seeking internal relations, data mining reorganizes implicit data with potential values and transforms it into valuable information and knowledge, laying a solid foundation for library individualized service.This article first introduces the definition, function and common calculation of data mining, then has a systematic analysis on the research both at home and abroad from the aspects of algorithms、user classification、individualized service、decision support and application technologyIn view of the actual demands of Nanjing College of Chemical Technology, this article designs an individualized service system based on data mining with technologies as jsp, Java and Oracle10i. Its main functions include data collection, data mining, individualized document recommendation, personalized order reminder, etc. The emphasis is laid on book information, reader information, borrowing and returning as well as visiting information. Relevant rules, clustering rules, decision tree rules are summed up and rule database is built. Individualized document recommendation service consists of individualized recommendation based on clustering rules, relevant rule and decision tree rules. It supports service reminder such as subscribers’self-defined text message and emails.