Weighted frequent item set mining algorithm for precision marketing

Abstract

The invention provides a weighted frequent item set mining algorithm for precision marketing. According to the invention, firstly, aiming at the problem that a marketing strategy of a sales enterprisehas difficulty in finding a client and the problems of the high customer acquisition cost, the low operation efficiency and the like, the early purchase behaviors of customers and the access behaviors of the customers on an e-commerce platform are analyzed, and different purchase probability values are given to behaviors of purchasing commodities, clicking and browsing, collecting commodities, joining shopping carts and the like so as to reflect preference degrees of the users for different projects; secondly, by endowing the commodity with different weights according to the proportion of theprofit of the commodity to the profit of the enterprise, the importance degree of different commodities to the enterprise are reflected. According to the method, the time efficiency of the algorithmis improved, the frequent item set information with important significance to users can be quickly mined from massive uncertain data, and the accurate marketing is achieved.

Description

technical field [0001] The invention belongs to the technical field of computer data mining and information processing, and in particular relates to an uncertain data weighted frequent itemset mining algorithm based on Top-K query for precise marketing. Background technique [0002] At present, uncertain data is widely used in sensor networks, RFID applications, Web applications, business decisions, precision marketing and many other fields [1] . The uncertainty of data brings great challenges to frequent pattern mining. On the one hand, the number of possible world instances grows exponentially relative to the data size, and on the other hand, the emerging probability dimension, which leads to the traditional The accuracy and timeliness of the data frequent pattern mining algorithm are greatly reduced, which cannot meet the specific application requirements. [0003] In addition, the current research on frequent itemsets mining for uncertain data is still in the initial s...

AI Technical Summary

Problems solved by technology

[0006] Aiming at problems such as difficulty in finding customers for sales companies, high cost of acquiring customers, and low operating efficiency, the present invention provides an uncertain data weighted frequent itemset mining algorithm based on Top-K query for precision marketing

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