| At present, China’s telecommunications industry, the business grew very fast, competition is fierce. Must be established a set of effective computer information system, The system is able to accurately collect all relevant communications to city business information, and store it and realizing Information sharing network. And importantly can be doing multiple targets of data classification and multi-angle statistical comparison, makes the communications industry executives can clearly see all kinds of data and various business indexes to change.Therefore, Unicorn’s business analysis system at this time born, development Unicom operational analysis system key lies in how to use good data mining this technique. Especially operation monitoring module is the application of data mining technology in the system is very typical of a place.The paper based on the" Unicom operational analysis system", thorough study the operation monitoring module of related functions, and according to the Data Mining theoretical comparison analysis of various analysis algorithm, and put forward transaction between association rules algorithm analysis algorithm OMFP-Improved. This algorithm, it can better accomplish module corresponding data mining and the analysis task. Compared with FP-Growth algorithm this algorithm has been greatly improved; in the industry for the obvious advantages of the module provide advanced solutions.This paper mainly work:First, participation Unicom operational analysis system structure analysis, basically participate in operation monitoring module design and implementation. Two, at operation monitoring module, using affairs link between analysis algorithm as real-time monitoring and the method of test update improvement gives a new face affairs between association rules analysis algorithm OMFP-Improved algorithm. Third, through the design, operation monitoring module of OMFP-Improved algorithm was validated and application. |
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