IEEE International Engineering Management Conference, Volumes 1-2IEEE, 2002 |
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Pagina 597
... algorithms . Thus , before applying these categorisation algorithms to unstructured data ( i.e. text documents ) , the typical pre - processing tasks of feature extraction , feature selection , and document representation have to be ...
... algorithms . Thus , before applying these categorisation algorithms to unstructured data ( i.e. text documents ) , the typical pre - processing tasks of feature extraction , feature selection , and document representation have to be ...
Pagina 598
... algorithm's output could provide a tendency towards the " correct " categorisation : If the number of categories is not much bigger than the number of available algorithms , it is probable that some algorithms suggest the same category ...
... algorithm's output could provide a tendency towards the " correct " categorisation : If the number of categories is not much bigger than the number of available algorithms , it is probable that some algorithms suggest the same category ...
Pagina 599
... algorithm of the " Enterprise Miner " even performed another 3.7 % better . Thus , while keeping in mind that we only analysed the abstracts of the patents , the performance of both algorithms can be regarded as good and on the same ...
... algorithm of the " Enterprise Miner " even performed another 3.7 % better . Thus , while keeping in mind that we only analysed the abstracts of the patents , the performance of both algorithms can be regarded as good and on the same ...
Inhoudsopgave
PLENARY ADDRESS | 491 |
PLENARY ADDRESS | 497 |
ENTERPRISE KNOWLEDGE MANAGEMENT | 503 |
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