Visual Data Mining: Techniques And Tools For Data Visualization And Mining

基本信息出版社:Wiley; 1 (2002年5月30日)平装:424页正文语种:英语ISBN:0471149993条形码:9780471149996商品尺寸:23.4 x 19.1 x 2.5 cm商品重量:726 gASIN:0471149993商品描述内容简介Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems.Explains how to select the appropriate data sets for analysis, transform the data sets into usable formats, and verify that the sets are error-freeReviews how to choose the right model for the specific type of analysis project, how to analyze the model, and present the results for decision makingShows how to solve numerous business problems by applying various tools and techniquesCompanion Web site offers links to data visualization and visual data mining tools, and real-world success stories using visual data mining作者简介TOM SOUKUP has more than fifteen years of experience in data management and analysis. He is currently with Konami Gaming, Inc., where he is involved in data mining and data warehousing projects for the gaming industry.

IAN DAVIDSON, PhD, has worked on commercial data mining applications, including insurance claim fraud detection, product cross-sell, customer retention, and credit card fraud detection. He is currently an Assistant Professor of Computer Science at the State University of New York, Albany.