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Mass User Applications Over The Internet A Solution

Posted on:2007-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:L BiFull Text:PDF
GTID:2208360185456279Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the development of the information technique especially the network technique, and the ability of data collection, data saving, data transfer fast increased, the data appeared the explosion growth, and the users of large Web production have become more than million or ten-million. But the real situation is, the structure of Web flat is not compact enough; and the information, benefit in decision-making, is very lack. Therefore the scopes, constructing the Web flat with high efficiency and making data mining better, is becoming hotspot. The embodiment of high efficiency is, there is good integration on flat and, it can support complicated analysis operation, support manager to make decision, support mass data searching with analyst need, show result to them, then analyst can exact mastery of enterprise condition, learn the market need, institute exactness case, increase benefit.For fast develop the enterprise software and reduce the expenditure, J2EE offer the way base on model, to design, develop, deploy enterprise application program. It get across the distribute application program model, which has the ability of reuse discreteness and multilayer distributed, unification safe mode and agile affair control, the enterprise can find solving project more quickly than before, and there is less limitation model developer'production and application program interface, all of them can choose the most appropriate production and module on business applications.Just with this backdrop, the paper expatiate a whole Web Services application solving project, which can do better with the mass user. In some sense, the technology shows its real practical value just when it is integrated into the enterprise platform. This paper, therefore, is based on the J2EE and study how to design and implement the data production model of Web Services and do well with the mass user data mining.
Keywords/Search Tags:mass data, Web Services, J2EE, XML, Data Mining
PDF Full Text Request
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