Method and system for dynamically inserting data mining algorithm into data mining platform

Abstract

The invention provides a method and a system for dynamically inserting a data mining algorithm into a data mining platform. The method includes: establishing the data mining platform comprising a basic function framework; establishing a data mining algorithm inserting vessel which is provided with a data mining algorithm inserting vessel interface reserved, and embedding the data mining algorithm inserting vessel into the data mining platform; setting rules of dynamic insertion for an algorithm unit, establishing an algorithm inserting unit used for selecting a new algorithm unit meeting preset requirements; guiding the new algorithm unit selected by the algorithm inserting unit to the data mining algorithm inserting vessel interface according to the rules of dynamic insertion for the algorithm unit. The data mining platform is simple and flexible to develop; after the data mining platform is developed, the new data mining algorithms can be dynamically inserted, and the data mining platform is higher in extensibility and compatibility.

Description

technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a method and a system for dynamically inserting a data mining algorithm into a data mining platform. Background technique [0002] Data mining, also known as Knowledge Discovery from Database (KDD for short), is a complex process of extracting unknown and valuable patterns or laws from a large amount of data. In the process of data mining, different data mining algorithms need to be used according to the purpose of data mining or actual business needs. [0003] In the prior art, in the early stage of data mining platform design, in order to improve the processing capability of the data mining platform and make the data mining platform meet various data mining purposes, it is often necessary to introduce multiple fixed data mining algorithms into the data mining platform. [0004] The main problems of the above methods are: (1) In the process of data mining platfo...

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Problems solved by technology

[0004] The main problems of the above methods are: (1) In the process of data mining platform design, it is necessary to design as many data mining algorithms as possible. On the one hand, the design cycle of the data mining platform is prolonged; on the other hand, due to the overall The design work is complicated, which also increases the workload of the data mining platform design; (2) After the development of the data mining platform, when an improved data mining algorithm appears, the improved data mining algorithm cannot be applied to the original data mining platform , developers need to redesign the data mining platform, therefore, the original data mining platform has problems of poor scalability and compatibility

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