| Software-as-a-Service(SaaS)is a new type of software service Model.SaaS software has the characteristics of simple deployment,low rent and no maintenance.It has become the best way for small and medium-sized enterprises to implement informatization.The SaaS platform for the automotive and parts industry provides tenants with a range of services including vehicle sales,procurement,inventory,customer management,and parts sales.The tenants will rent the corresponding software service according to their own needs.Platform operators need to dynamically display,offer trial services on the platform portal,and provide users with information about the industry.The platform customers understand the usage and characteristics of the software service according to the display information on the portal platform,and try to find out the software services that are in line with their needs.In addition,through collecting,statistics and analysis of the trial information,the platform operators dynamically discover the potential rental requirements of the trial users,and provide reasonable push and help for the trial users in time,and increases the occupancy rate.The association rule algorithm is used to data mining the rent of the formal tenants,and the association rules between the software rents are excavated as the basis of the push service.According to the characteristics of platform big data,an efficient association rule algorithm is proposed for mining.This thesis aims at the dynamic discovery of the SaaS platform in the automotive and parts industry,trials the potential rental needs of users,dynamically displays software service information,and effectively explores the requirements for association rules relationships between software leases.And we design and implement a Cloud platform service display and demand dynamic discovery system,the main search work is as follows:(1)In order to dynamically display the software service information of the platform,the integration of OpenCms content management system and platform software service management system is adopted.Using JSP template mechanism to merge page design and page content,the dynamic display of software services is realized.(2)Based on XML technology,news information release of platform is realized.The crawler crawls information on related industry information websites and edits the crawled information.(3)The trial service function of the platform is realized.Including the user's registration,the basic data initialization,and the acquisition of the user's trial behavior through the interceptor MyInterceptor.Then we based on the recorded trial log information,analyze the user's specific trial situation.(4)The association rules are extracted from the leased information of the platform software,and the association rules relationship is obtained.An incremental association rule algorithm BitFUP based on the bit table and the middle table is proposed,which is used to express the transaction data of the database,and to record the candidate item sets by establishing the middle table to reduce the duplicated scan of the database and improve the efficiency of the mining.(5)According to the association rule relationships of software leases that have been excavated and the trial status of trial users,the potential rental needs of the trial users are dynamically discovered,and the SMTP email push technology is used to push the software services for trial users and invite trials. |
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