[PDF.67ja] Data Mining: Theory, Methodology, Techniques, and Applications (Lecture Notes in Computer Science)

Data Mining: Theory, Methodology, Techniques, and Applications (Lecture Notes in Computer Science)

[PDF.bp47] Data Mining: Theory, Methodology, Techniques, and Applications (Lecture Notes in Computer Science)

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 | #7283195 in Books |  Springer |  2010-06-02 | Original language:English | PDF # 1 |  9.25 x.79 x6.10l,1.09 | File type: PDF | 331 pages

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||0 of 0 people found the following review helpful.| curious curves|By W Boudville|As an Australian, I was pleased to see several papers in this collection from researchers based in Australia, using data collected there. This was due to the editors being from Australia and a longstanding tradition of extensive data mining research at the local universities. Though I should add that like most of the Springer books of conference pr

This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based on works presented at the Australasian Data Mining conferences and industrial forums. Authors include some of Australia's leading researchers and practitioners in data mining. The volume also contains chapters by regional and international authors.

You can specify the type of files you want, for your device.Data Mining: Theory, Methodology, Techniques, and Applications (Lecture Notes in Computer Science)   |  From Brand: Springer.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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