A distribution model with pattern structure in formal concept analysis for meteorological data minging

作者：Shen, Xiajiong; Zhang, Lei; Han, Daojun; Jia, Peiyan

来源：International Journal of Database Theory and Application, 2015, 8(4): 31-40.

DOI：10.14257/ijdta.2015.8.4.04

• Concept Lattices
• Data mining technology
• Distributed modeling
• Distribution models
• Formal concept analyses (FCA)
• Meteorological data
• Pattern structure
• Processing capability

Using data mining technology to analyze the huge amounts of meteorological data plays an important role in improving the accuracy of weather forecasts. After analyzed the features of meteorological data, a distributed meteorological data mining models using the pattern structure in formal concept analysis is proposed in this paper. Since there exists large numerical, boolean, and geographic concepts in meteorological data, using classic methods of formal concept analysis needs to build single-valued formal context. This paper adopts concept lattice pattern structure to avoid such conversions and the results of rules mining have higher readability and efficiency. This pattern structure of concept lattice is extended to the distributed model to improve data processing capability.

• 出版日期2015
• 单位河南大学