2013年1月18日
摘要: Data mining draws upon ideas,1. sampling, estimation, and hypothesis testing from statistics;2. search algorithms, modeling techniques, and learning theories from artificial intelligence, pattern recognition, and machine learning. 阅读全文
posted @ 2013-01-18 21:16 Jiang, X. 阅读(226) 评论(0) 推荐(0) 编辑
摘要: 1. ScalabilityIf data mining algorithms are to handle these massive data sets, then they must be scalable.2. High DimensionalityFor some data analysis algorithms, the computational complexity increases rapidly as the dimensionality increases.3. Heterogeneous and Complex DataDealing with data with no 阅读全文
posted @ 2013-01-18 21:07 Jiang, X. 阅读(2876) 评论(0) 推荐(0) 编辑
摘要: Data mining is an integral part of knowledge discovery in databases (KDD), which is the overal process of converting raw data into useful information.The process of knowledge discovery in databases:Input Data-> Data Preprocessing(Feature Selection, Dimensionality Reduction, Normalization, Data Su 阅读全文
posted @ 2013-01-18 20:44 Jiang, X. 阅读(260) 评论(0) 推荐(0) 编辑