Data Series Mining Technology Analysis Based on Web Database

Based on Web data, the paper regarded data series mining technology as research content, researched and realized sequence GSP algorithm with higher mining efficiency on sequence pattern, tested the algorithm and analyzed mining pattern. Moreover, the paper realized a scheme that used data warehouse (DW) to excavate sequence of Web visit to use entirely, tested the scheme by adopting logs of real business sites, analyzed mining results and drew a conclusion that this algorithm had an excellent application effect.

Application and Research of Data Mining in Micro Course Platform Construction

Data mining can be used to make modeling for individual learner's usage record, combining with learner's basic information to make analysis of his habits, personal preferences to provide personalized service for the learner. At the same time by collecting and counting learners’ recent access information in micro course platform to analyse the learning content, compare and match with mining pattern, and to sort according to the matching degree, forecasting the most possible knowledge for the learner in the next step, attaching sorting result to the end of the learner’s requested page, for the learning content recommendation consequently, etc. Paper mainly introduced the specific application of data mining in micro course platform BBS. Key words: data mining, micro courses, personalized recommendation