Data mining device based on Deep Web deep dynamic data and method thereof
A data mining and dynamic data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effects of good scalability, robustness, simple and practical operation, and high data quality
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Embodiment 1
[0025] This embodiment provides a data mining device based on Deep Web (dark web) deep dynamic webpage data. The device includes at least one commercial server, the basic hardware configuration is 4CPU, 8G memory, 1T disk space, including pre-installed Windows 2003 / 2000 Server operating system and ASP.NET application server, three virtual operating systems and can be expanded for The deployment of the distributed collection system at the operating system level; with the distributed collection function at the server level, it can be extended to multiple commercial servers as required. At least three data storage servers, a database storage system centered on data storage and integration, pre-installed with a relational database system that supports mass storage and full-text indexing functions, such as Microsoft's SQLServer system. At least one data index server mainly stores index information of collected data, with the purpose of accelerating data integration, retrieval speed...
Embodiment 2
[0030] This embodiment provides a data mining method based on Deep Web deep dynamic data, see Figure 4 , the method includes the following steps:
[0031] Step 101 imports the feature word dictionary of collection;
[0032] Through the collection and release management platform, in the collection and simulation thesaurus management system, input the specific retrieval conditions of data mining or the thesaurus to be collected. The thesaurus can also be automatically created by the collector, or automatically imported and exported through the dictionary table.
[0033] Step 102 creates a data mining collection task;
[0034] Through the collection and release management platform, in the collection task scheduling management system, users can create data mining collection tasks through the navigation function of the system according to the preset requirements, as shown in Table 1. This process is relatively flexible, and data sources can be selected individually , format, se...
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