中原地区古代陶器数据预处理研究

利用数据挖掘技术对中原地区古代陶器数据进行分析研究,会对探究古陶器的发展演变规律及中原地区各类型文化之间的传承源流、关系起到积极的推动作用。数据预处理作为数据挖掘过程的主要步骤,可提高数据质量和其后挖掘过程的准确率及效率。阐述了针对中原地区古代陶器数据具有的类型复杂、数据量大、不正确、不完整和不一致的特点,采用数据清理、数据集成和数据变换技术对其进行数据预处理,从而提高了数据挖掘模式的质量。

Data Preprocessing of Ancient Pottery of Central China

Data mining techniques are employed to analyze the ancient pottery data in Central China to explore the evolution of ancient pottery and the origins of roughly inheritance relation of the Central China between each type of culture,which is of great significance in archeology and anthropology.As the major step of data mining,data preprocessing can improve data quality,thereby helping to improve the accuracy and efficiency of the subsequent mining process.Because the ancient pottery in Central China has the features of complex types with large amount of incorrect,incomplete and inconsistent data,the data preprocessing techniques of data cleaning,data integration and data transformation are used,thereby greatly improving the quality of data mining models.