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A data mining method and device

A data mining and database technology, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as low practicability, association rules cannot accurately reflect association rules, and no practical application value, and achieves the goal of reducing interference. Possibilities, effects of improving accuracy and usability

Active Publication Date: 2016-10-19
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the item set has expired, the association rules between the items in the item set can no longer accurately reflect the recent association rules. Even if the item set is mined, it has no practical application value and low practicability

Method used

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  • A data mining method and device
  • A data mining method and device
  • A data mining method and device

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] In order to facilitate the description of the embodiments of the present invention, the basic concepts involved in the embodiments of the present invention are introduced in advance as follows:

[0052] 1. Item: The operation object corresponding to the operation performed by the user is called an item, for example, an item selected by the user is an item.

[0053] 2. Transaction: The operation behavior performed by the user is called a tra...

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Abstract

The invention provides a data mining method and device and belongs to the field of data mining. The method comprises the steps of scanning a transaction database to obtain multiple transactions and at least one item; acquiring multiple candidate item sets; for each candidate item set, calculating the weighted support degree of the candidate item set according to the weight of each item in the candidate item set and the number of specific businesses including the candidate item set; calculating the ageing value of each candidate item set according to the occurrence time of each specific business; judging whether the ageing value of each candidate item set is greater than a first threshold value and the weighted support degree is greater than a second threshold value; if the ageing value of one candidate item set is greater than the first threshold value and the weighted support degree is greater than the second threshold value, determining the candidate item set as a recent high weight frequent item set. Based on the time-based element of item sets, the probability of appearance of disturbance is reduced, and the association rules between the items in a mined recent high weight frequent item set can accurately reflect recent association rules, so that the accuracy and practicability are improved.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a data mining method and device. Background technique [0002] In recent years, high-weight frequent itemsets mining has become one of the key issues in the field of data mining. By mining the transactional database, we can obtain high-weight frequent item sets composed of different items in the transactional database, so as to discover important association rules hidden between different items. These association rules can be applied to inventory management, shopping basket analysis, etc. Various fields. [0003] The transaction database includes multiple transactions, and each transaction includes at least one item. When mining the transaction database, each item can be assigned a weight according to the importance of each item. For each candidate item set , according to the weight of each item in the candidate item set and the occurrence times of the candidate item set in the trans...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 林浚玮王巨宏陈伟甘文生
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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