A Multi-Analyzer Machine Learning Model for Marine Heterogeneous Data Schema Mapping
Wang Yan1, 2 Le Jiajin3, Zhang Yun2
Journal of Multimedia Processing and Technologies, Vol. 6, No. 4, 2015.
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Abstract:
In heterogeneous data integration, an effective machine learning model plays an important role in schema
mapping. Schema mapping machine learning model and its probability learning improvement are analyzed in this
paper firstly, and then the concept of multi -analyzer model with the method of fuzzy comprehensive evaluation is put
forward to improve machine learning resultsâ€™ efficiency and accuracy. Comprehensive experiments on multi-analyzer
model confirm the effectiveness of multi -analyzer model.