A method and device for mining unknown association relationships in rule association models
An association model and association relationship technology, applied in computing models, machine learning, instruments, etc., can solve the problems that association analysis methods cannot accurately locate association results, unfavorable decision makers' marketing strategies, etc., and achieve the effect of improving accuracy.
Active Publication Date: 2019-06-07
ZHONGKE DINGFU BEIJING TECH DEV
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[0005] This application provides a method and device for mining unknown association relationships in rule association models to solve the problem that existing association analysis methods cannot accurately locate useful association results and are not conducive to decision makers to formulate corresponding marketing strategies
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[0029] see figure 1 , is a method flow chart provided by an embodiment of a method for mining an unknown association relationship in a rule association model provided in this application. An embodiment of the present application provides a method for mining unknown association relationships in rule association models, including the following steps:
[0030] Step 101: Obtain a rule association model and at least one piece of sample information. The rule association model includes N tuples, where N is a positive integer greater than 1, and each of the tuples includes at least one concept.
[0031] The tuples contained in the rule association model may only contain one concept, or may be composed of multiple concepts. A tuple is defined as a tuple set containing a corresponding number of tuples. The tuples can be divided according to the types of concepts, such as the tuples containing product categories, the tuples containing business categories, the tuples of word-of-mouth ev...
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The invention provides a method and device of mining unknown association relations of a rule association model. The method of mining the unknown association relations of the rule association model comprises the steps of obtaining the rule association model and at least one sample message; according to concepts in all tuples of the rule association model, standardizing at least one sample message, and obtaining at least one standard sample message; processing the standard sample messages, and obtaining key word sets corresponding to each standard sample message; according to the key word sets, calculating and obtaining a binary relation expression list; matching the binary relation expression list with a candidate association expression list of the rule association model; according to a matching result, establishing association relations of concepts of two adjacent tuples of the rule association model. According to the method and device of mining the unknown association relations of the rule association model, valuable association relations not set in advance in the rule association model can be constructed to enable the rule association model to comprehensively and visually reflect a valuable association result in real task scenes, and the precision of valuable association result positioning is improved.
Description
technical field [0001] The present application relates to the technical field of data mining, in particular to a method and device for mining unknown association relationships in rule association models. Background technique [0002] Correlation analysis method is a technology in the field of data mining technology to discover the correlation between different data from a database storing a large amount of data. Correlation analysis methods are widely used in the fields of selective marketing and decision analysis. For example, based on consumers' shopping lists, operating companies use correlation analysis methods to mine the products that consumers usually buy together, understand consumers' purchasing habits, and then draw up effective strategies. "bundle sales" marketing strategy. In recent years, correlation analysis methods have also been applied to fields such as web browsing behavior analysis or stock market transaction analysis. [0003] Most of the existing assoc...
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IPC IPC(8): G06F16/2455G06F16/2458G06N20/00
CPCG06F16/2465G06N20/00
Inventor 李德彦席丽娜晋耀红
Owner ZHONGKE DINGFU BEIJING TECH DEV