Local Pattern Analysis for Mining Multiple Data Sources
Multiple data source mining is the process of identifying potentially useful patterns from different data sources, or datasets. Local pattern analysis is an in-place strategy specifically designed for mining multiple data sources, providing a feasible way to generate globally interesting models from data in multidimensional spaces. This paper studies the local pattern analysis strategy so as to better understand the distribution of data (patterns), and the conflict and inconsistency between data (patterns); and develop high-performance multiple data source mining systems.
Zhi Zhong
Department of Mathematics and Computer Science, Guangxi Teachers Education University, Nanning 530023, China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）