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02290nam a22004935i 4500 |
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978-0-306-47011-0 |
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DE-He213 |
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20151204155518.0 |
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cr nn 008mamaa |
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100301s2002 xxu| s |||| 0|eng d |
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|a 9780306470110
|9 978-0-306-47011-0
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|a 10.1007/b116461
|2 doi
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|d GrThAP
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|a QA76.9.D35
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|a UMB
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|a URY
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|a COM031000
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|a 005.74
|2 23
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|a High Performance Data Mining
|h [electronic resource] :
|b Scaling Algorithms, Applications and Systems /
|c edited by Yike Guo, Robert Grossman.
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|a Boston, MA :
|b Springer US,
|c 2002.
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|a IV, 106 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Editorial -- Parallel Formulations of Decision-Tree Classification Algorithms -- A Fast Parallel Clustering Algorithm for Large Spatial Databases -- Effect of Data Distribution in Parallel Mining of Associations -- Parallel Learning of Belief Networks in Large and Difficult Domains.
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|a High Performance Data Mining: Scaling Algorithms, Applications and Systems brings together in one place important contributions and up-to-date research results in this fast moving area. High Performance Data Mining: Scaling Algorithms, Applications and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
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|a Computer science.
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|a Microprocessors.
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|a Data structures (Computer science).
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|a Information storage and retrieval.
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|a Computer Science.
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2 |
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|a Data Structures, Cryptology and Information Theory.
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|a Information Storage and Retrieval.
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650 |
2 |
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|a Processor Architectures.
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700 |
1 |
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|a Guo, Yike.
|e editor.
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|a Grossman, Robert.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9780792377450
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856 |
4 |
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|u http://dx.doi.org/10.1007/b116461
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-BAE
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950 |
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|a Computer Science (Springer-11645)
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