摘要：Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications had me excited with the title, but let me down with dry content and uninteresting data. The book does a good job of summarizing the range of techniques used in modern data mining, but there is too much focus on describing each procedure, and too little focus on why you should use each one and how you can interpret the results. Most damningly, the book fails to convey any enthusiasm for data. There is little real data analysis, and the examples tend to be small, dated and uninteresting. The applications chapter (Chapter 5) does provide a couple of larger examples, but these read largely as a description of what was done to each dataset, not why and what we learned. Despite the inclusion of visualization in the title, many results are presented as large tables of numbers, as exempli ed by Figure 5.9, which presents over 5,000 digits in a 10 100 table spread over two pages.
