Consumption data sequence trend information acquisition method and system
A technology for consuming data and acquiring methods, applied in data processing applications, commerce, instruments, etc., can solve the problem of low cyclical impact forecast accuracy, and achieve the effect of overcoming low forecast accuracy
Inactive Publication Date: 2008-07-16
CHINA TELECOM CORP LTD
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[0009] When the above-mentioned technical solution judges the trend of the consumption data sequence that is judged to have a period, the influence of the periodic factor is removed first, thereby overcoming the low prediction accuracy caused by the existing trend discrimination method not considering the periodic influence of the consumption data sequence Defects
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[0091] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.
[0092] When predicting the trend according to the consumption data, the present invention firstly judges the periodicity of the consumption data, and if it is judged that there is a period, then removes the influence of the periodic factor in the forecasting process, avoiding the adverse effect of the periodic factor on the accuracy of trend discrimination influences.
[0093] As shown in FIG. 1 , it is a schematic flowchart of an embodiment of the method for acquiring trend information of consumption data series in the present invention. This embodiment includes the following steps:
[0094] Step 101. Perform periodic judgment on the consumption data sequence that meets the prerequisites for periodicity judgment. If it is judged that the consumption data sequence has a period, execute step 102; otherwise, execute ste...
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The invention relates to a consuming data sequence trend information acquisition method which comprises the following steps: carrying out periodic judgment concerning a consuming data sequence meeting the preconditions of the periodic judgment; if the consuming data sequence is judged to be periodic, carrying out long-term trend discrimination and / or short-term trend discrimination of the consuming data sequence after eliminating the impact of periodicity factor to obtain the long-term and / or the short-term trend information of the consuming data sequence. The invention also relates to a consuming data sequence trend information acquisition system which comprises a periodic judgment module, a first long-term trend discrimination module and a first short-term trend discrimination module. The invention carries out periodic judgment of mass data; if a periodic data sequence is found, the impact of periodicity is eliminated during predicting the trend, thereby eliminating the impact of periodicity on prediction results.
Description
technical field [0001] The invention relates to the field of data mining applications, in particular to a method and system for acquiring consumption trend information from massive consumption data. Background technique [0002] As the competition in the communication industry continues to intensify, communication network operating companies are increasingly conducting marketing activities based on customer orientation. Customer consumption behavior has become the focus of each communication network operating company. Therefore, accurate identification of customer consumption trends is very important for enterprise customer relationship management and marketing activities. For example, if it is identified that the consumption of customers has a downward trend, the enterprise can understand the reasons for the decline in time, and then take effective countermeasures to avoid the loss of customers, thereby reducing the loss of income of the enterprise. [0003] However, when ...
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Inventor 柯晓燕芦陈辉漆晨曦曾宪伟康波
Owner CHINA TELECOM CORP LTD