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Screening method and screening device of attribute combination
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A screening method and screening device technology, applied in the field of data processing, can solve problems such as error-prone and cumbersome operations, and achieve the effect of reducing operational complexity and good user experience
Active Publication Date: 2015-01-28
YONYOU NETWORK TECH
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Problems solved by technology
Due to the lack of standardized methods to define the effectiveness of combinations, the process of eliminating invalid combinations is generally done manually, which is cumbersome and error-prone
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Embodiment 1
[0132] After obtaining the attribute combination validity definition table, the following processing method can be adopted for scenario 1 in the background technology.
[0133] Input parameters:
[0134] Value collection of attribute values: attribute 1[value 1, value 2...], attribute 2[...],...
[0135] To get the value attribute: attribute n
[0136] Among them, in the set of valued attribute values, the number of attributes can be 0-n, and the number of values of each attribute can be 1-n, and cannot be 0.
[0140] Such as Figure 4 As shown, step 402: Construct a query condition in the form of "attribute 1in (value 1, value 2, ...) and attribute 2in (...)" according to the content of the set of valued attribute values, and define the validity of the combination of attributes Query the eligible records in the table; when the number of attributes contained in the s...
Embodiment 2
[0159] After obtaining the attribute combination validity definition table, the following processing method can be adopted for scenario 2 in the background technology.
[0160] Input parameters:
[0161] Value collection of attribute values: attribute 1[value 1, value 2...], attribute 2[...],...
[0162] In the set of valued attribute values, the number of attributes may be 1-n, and the number of values of each attribute may be 1-n.
[0166] Such as Figure 5 As shown, step 502: Construct the following query conditions according to the input parameters to query the attribute combination validity definition table:
[0168] where attribute 1in (value 1, value 2...,——)
[0169] and attribute 2in(...,——) and...
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Abstract
The invention provides a screening method of attribute combination. The screening method includes setting multiple attribute value dependency groups of data entity according to received setting commands; splitting each of the attribute value dependency groups and performing Cartesian product combination on a first value range and a second value range of a first attribute set and a second attribute set to obtain multiple attribute value dependence value groups, and sequencing split results according to a preset sequencing manner to obtain an attribute combination effectiveness definition list. Each attribute value dependence value group includes one first value range of one attribute information and one second value range of the corresponding second attribute information. The invention further provides a screening device of attribute combination correspondingly. According to the technical scheme, the screening method can assist users to screen effective attribute combinations within a short time, reduce operation complexity and bring good experiences to the users.
Description
technical field [0001] The present invention relates to the technical field of data processing, in particular, to a screening method for attribute combinations and a screening device for attribute combinations. Background technique [0002] In application development, we often encounter scenarios where values need to be set for multiple attributes of a data entity at the same time, and the attribute value range of a data entity is often not a simple Cartesian product of multiple attribute value ranges, but There are certain mutual constraints among the values of multiple attributes, so that some attribute combinations are invalid combinations with no practical meaning. In application operation, these invalid combinations often bring certain inconvenience. [0003] For example: a data entity has four attributes, as shown in Table 1. [0004] Table 1 [0005] Attributes Ranges A a1, a2 B b1, b2, b3, b4 C c1, c2, c3 ...
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