Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Communications of the ACM
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Boolean Factor Analysis for Data Preprocessing in Machine Learning
ICMLA '10 Proceedings of the 2010 Ninth International Conference on Machine Learning and Applications
Data set preprocessing and transformation in a database system
Intelligent Data Analysis
Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification
Theoretical Computer Science
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It is well konwn that the real-world data tend to exist many data quality problems such as incompleteness and nosiy data. Data preprocessing technology can improve data quality effectively and provide more reliable data for the next step. A data preprocessing approach for daylight climate data is presented in this paper according to the characteristics of this data. Then this approach is applied to the real-world data and the experimental results show that the approach can enhance the data quality effectively. Besides, the integration of the domain knowledge into data preprocessing is emphasized in this paper in order to make data preprocessing more effective and more targeted.