文件名称：Data Mining and Analysis: Foundations and Algorithms(2014)
文件大小：23.18MB
文件格式：RAR
更新时间：2017-09-02 11:15:32
Data Mining Algorithms
The main parts of the book include exploratory data analysis, frequent pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and it also covers cutting edge topics such as kernel methods, high dimensional data analysis, and complex graphs and networks. It integrates concepts from related disciplines such as machine learning and statistics, and is also ideal for a course on dataanalysis. Most of the prerequisite material is covered in the text, especially on linear algebra, and probability and statistics
【文件预览】：
Data_Mining_and_Analysis__Fundamental_Concepts_and_A(已读).pdf