The Clustering Algorithm Applied Research, B2m E-commerce

Electronic Commerce is the original power of the next generation all over the world, which is an excellent means of performing itself, popularizing its stuff, searching for the best cooperative partners and getting larger and larger scale of marketing. By means of Electronic Commerce a business adjusts tactics of marketing and improves business's reputation in order to expand its strength. Dues to Electronic commerce, all businesses are received so much benefits. The rapid development of Electronic Commerce is destined in the future of economics developed widely.With the development of network technology, the population of Internet and the more and more matured technique of the databases, Electronic Commerce has been running forward incredibly. E-commerce plays an important role in the innovation of enterprise operation mode, specifies inner circuit and transaction procedure, release steps about transaction, and reduces the prosecution cost of enterprise; besides, makes prosecution activities to be beyond the limit of region and time, to be convenient with clients, and keeps in touch with the relationship between enterprise and clients intently.At present, there is so much potential from Electronic Commerce platform, bringing about plenty of commercial opportunities and new career jobs, however, simultaneously the development of Electronic Commerce platform generates many a problem:the accumulation of numerous data, the detention and one side of commercial information and so on, which makes some obstacle.As for the existed problems about electronic commercial affairs, the paper makes use of cluster analysis combining the character and insignificance of electronic commercial affairs, design and achieve algorithm analysis thing based on Web which is able to invoke dynamic cluster algorithm on the basis of the types of data, in order to make support and indemnification for the correction of policy about electronic commercial affairs.The context makes deep investigation to knowledge and data mining technology in the field of Electronic Commerce, the context elaborates the analysis and application of data mining technology focused on Electronic Commerce, in addition, the technology of cluster analysis is put adaption to E-commerce platform based on B2M, besides, there has been an innovated exploration.The source of the data is www.sfhec.com and login.sfhec.com, by means of ETL software Kettle, the original data is integrated, with the help of data mining techniques, the analysis incoming from trading data strongly ensure the decisions from Electronic Commerce. Electronic Commerce helps seller manager get information of demands, the character and trend of purchasing power and purchasing behavior more completely.