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Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)

Paolo Giudici




[PDF.ms84] Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)

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 | #1439583 in Books |  2003-10-31 | Original language:English | PDF # 1 |  9.09 x.81 x6.08l,1.10 | File type: PDF | 376 pages

||7 of 9 people found the following review helpful.| An excellent case-study book|By Anne|I found the book very useful especially because it contains fully worked out case-studies which, supported by the theoretical chapters, give clear guidance on how to actually do data mining|4 of 5 people found the following review helpful.| User-friendly textbook|By Viviana Fernandez|I recen| |"The extremely well written book by Paolo Giudici is important and useful, in this computer intensive age, to analyze and interpret massive date using data mining tools." (Journal of Statistical Computation and Simulation, February 2005) |"...enlighten

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract such knowledge from data. Applications occur in many different fields, including statistics, computer science, ...

You easily download any file type for your device.Applied Data Mining: Statistical Methods for Business and Industry (Statistics in Practice)   |  Paolo Giudici. A good, fresh read, highly recommended.

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