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Propositional-logic-based principle feature analysis method and system in data mining

A propositional logic and data mining technology, applied in the field of data processing, can solve the problem of inability to solve the problem of coarse-grained feature pattern selection, low importance and redundancy of top-K patterns, etc.

Active Publication Date: 2013-12-04
TCL CORPORATION
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Problems solved by technology

However, the existing processing algorithms are difficult to ensure that the selected top-K patterns have high importance and low redundancy, and cannot solve the pattern selection of coarse-grained features.

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  • Propositional-logic-based principle feature analysis method and system in data mining
  • Propositional-logic-based principle feature analysis method and system in data mining
  • Propositional-logic-based principle feature analysis method and system in data mining

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Embodiment Construction

[0052] The specific embodiments of the present invention will be described in detail below.

[0053] The present invention provides a main feature analysis method and system based on propositional logic in data mining, and proposes a new concept-feature extension based on propositional logic, which takes into account the essential characteristics of metadata in content data And the granularity of the selected feature, in other words, these features can be divided into fine-grained features and coarse-grained features. By setting the logical AND and logical OR combinatorial logic operators, the extended features are determined from the original feature set Set; fine-grained features tend to provide more information and user-specific information, while coarse-grained features provide more general information and more flexible interpretation capabilities.

[0054] The present invention forms a set of features with different granularities from the original metadata field by using combi...

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Abstract

The invention discloses a propositional-logic-based principle feature analysis method and system in data mining. The principle feature analysis method comprises the following steps of feature extension of extendingly describing the feature sets of content data through propositional logic to form a content data extended feature set; feature weight setting of analyzing the use history and the content data of a user through a content-based data mining and collaborative filtering method to set the important weight of the features; principle feature selection of selecting principle features from the extended feature set according to input content sets and the weight of the features and outputting the principle features. Through the calculation of the extension and the weight of features, the propositional-logic-based principle feature analysis method and system in data mining can select out and output the principle features to find the generality of data and expresses the data in extended features with richer meanings to provide effective support for subsequent data mining treatment.

Description

Technical field [0001] The invention relates to a data mining method and system in the field of data processing, in particular to a main feature analysis method and system based on a feature expansion method in data mining software. Background technique [0002] Data Mining is a technology that uses software to find its laws from a large amount of data by analyzing each data. There are three main steps: data preparation, law search and law expression. Data mining tasks include association analysis, cluster analysis, classification analysis, anomaly analysis, specific group analysis and evolution analysis. After more than ten years of development, the performance of data mining software tools has been significantly improved, both the degree of automation and the scope of application have undergone tremendous changes, and the price threshold has been rapidly reduced, which is important for promoting the application of data mining in enterprises and e-commerce. Has a special meanin...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 冯子钜汪灏泓
Owner TCL CORPORATION
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