[PDF.04ky] Mining Very Large Databases with Parallel Processing (Advances in Database Systems)

Mining Very Large Databases with Parallel Processing (Advances in Database Systems)

[PDF.id11] Mining Very Large Databases with Parallel Processing (Advances in Database Systems)

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 | #670183 in Books |  Springer |  1997-11-30 | Original language:English | PDF # 1 |  9.21 x.63 x6.14l,.99 | File type: PDF | 208 pages

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||0 of 1 people found the following review helpful.| Finally, multi-disciplinary book on multi-disciplinary field|By Miguel Artur Feldens|That's well known that data mining is a multi-disciplinary field. Mining large volumes of data, and discovering knowledge from databases, takes the advances in artificial intelligence, databases, computer architectures, artificial neural networks, etc. While most books on data mining focus on

Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up ...

You easily download any file type for your gadget.Mining Very Large Databases with Parallel Processing (Advances in Database Systems)   |  Alex A. Freitas, Simon H. Lavington. I was recommended this book by a dear friend of mine.

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