Web Usage Mining Applied Research In The Digital Library Of Personalized Service

The digital library uses digital technology to carry on organization and management of the information resources, can store magnanimity information. There are more and more digital libraries as the network, the data of the digital library excavate and find with knowledge that studying has greater using value. It is a very important research direction in three research fields in which Web data excavate that Web uses and records and excavates, the law while recording through analyzing and probing into Web daily record can discern the potential customer, excavate technology of the data to apply the digital library to, can strengthen the service quality to users.This text is from recommending wholly what data warehouse, data excavates beginning, recommend Web data excavate and Web use record excavate and digital the intersection of library and individualized relevant brief introduction of service system one by one while being thick detailed, and use recording the relevant theory that is excavated to do the key introduction to Web, establish the theoretical foundation for subsequent research work.Chapter three to digital the intersection of library and the intersection of data and setting up and use, record, excavate course, make in order to introduce in detail of warehouse under personalized service, utilize the data to excavate software clementine and sqlserver2005, oracle database, to using recording and paying excavating. From the choices of instrument to dig up and database, setting up and use record to the data warehouse excavate the course. Excavate flow diagram, propose one suitable for, use flow diagram excavated to record according to the intersection of CRISP-DM and standard, according to the flow diagram, carry on data collection, data understand and data plan and the intersection of mode and excavate, pattern analysis,etc. operate. Divide intact 4 stages of clearing up, user's discerning, conversation discerning, route into data sequentially during the course of preparing in data, proposed their own algorithms and excavated the course specifically with clementine during each stage. Users discern stage, have proposed one on the basis of users IP, landed the topological pictures of time, website, quoted the new algorithm that webpage and Agent recognise single users.Chapter four mainly carries on the experiment to excavating the course of chapter three, take website of library of Heilongjiang University as examples, excavating users uses the mode, analyze and appraise models excavated out. And discern the algorithm put forward at stage to test and compare users.Chapter five is a end part of the thesis, summarize thesis, has pointed out the innovation herein is clicked and several points not enough and further studying are imagined.