Research on Data Cleaning and Preprocessing Technology in Big Data Environment
This paper firstly introduces the basic concepts and objectives of data cleaning and preprocessing and their importance in data analysis.Then,it analyzes the main challenges of data cleansing in the big data environment,including the data volume challenge brought by handling large-scale data sets,the quality problem of multi-source data,and the limitations of existing techniques and tools.In addition,this paper explores several improved data cleansing and preprocessing approaches,especially machine learning-based data cleansing techniques and efficient data preprocessing strategies to cope with the specific needs of big data.Finally,the article summarizes the important role of data cleansing and preprocessing techniques in big data analytics and provides an outlook on the future direction of development.
big datadata cleaningdata preprocessingmachine learningdata analysis
国家科技期刊平台
NSTL
万方数据
