Spatial big data mining system based on clustering

Abstract

The invention discloses a spatial big data mining system based on clustering. The system comprises a data access module, a clustering module, a user interaction module and a knowledge base managementmodule, wherein the data access module is responsible for providing a data access function, can be used as a data access interface of the clustering module and the user interaction module, and completes access to heterogeneous and heterogeneous data in a spatial database at the same time; the clustering module is responsible for receiving and analyzing a data mining task request of the user interaction module, obtaining corresponding data through the data access module and completing clustering analysis, and finally transmitting a corresponding model back to the user interaction module; the user interaction module is responsible for helping a user to complete the interaction process of selecting a data mining algorithm, modeling, loading training data and completing prediction; and the knowledge base management module provides a transparent interface between the clustering module and the user interaction module and provides powerful support for spatial decision.

Description

technical field [0001] The invention belongs to the technical field of big data mining, and relates to a cluster-based spatial big data mining system. Background technique [0002] As the land use area has grown faster and faster in recent years, it is predicted that there will be more land use in the next few years. to the issue of effective management. [0003] There are several problems in the traditional resource management system. For example, data processing and basic space still require a lot of human-computer interaction processing work. The integration level and intelligence level between platforms are not high. Scientifically provide decision support for decision makers. Therefore, the society urgently needs to develop an efficient human-computer interaction processing system with a high level of artificial intelligence, to provide an intelligent analysis tool for land planning decision makers and to accurately predict the development trend of land use in the nex...

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