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140122 ||| eng |
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|a 9780306470110
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100 |
1 |
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|a Guo, Yike
|e [editor]
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245 |
0 |
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|a High Performance Data Mining
|h Elektronische Ressource
|b Scaling Algorithms, Applications and Systems
|c edited by Yike Guo, R.L. Grossman
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250 |
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|a 1st ed. 2002
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260 |
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|a New York, NY
|b Springer US
|c 2002, 2002
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300 |
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|a IV, 106 p
|b online resource
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505 |
0 |
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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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653 |
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|a Information Storage and Retrieval
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653 |
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|a Data Structures and Information Theory
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653 |
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|a Information storage and retrieval systems
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653 |
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|a Information theory
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653 |
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|a Processor Architectures
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653 |
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|a Data structures (Computer science)
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653 |
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|a Microprocessors
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653 |
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|a Computer architecture
|
700 |
1 |
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|a Grossman, R.L.
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
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|b SBA
|a Springer Book Archives -2004
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028 |
5 |
0 |
|a 10.1007/b116461
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856 |
4 |
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|u https://doi.org/10.1007/b116461?nosfx=y
|x Verlag
|3 Volltext
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082 |
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|a 003.54
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0 |
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|a 005.73
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520 |
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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
|