Implementation issues in the design of I/O intensive Data Mining applications on clusters of workstations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1800 LNCS, Issue , 2000, Pages 350-357

  Baraglia, R ^a   Laforenza, D ^a   Orlando, Salvatore ^b   Palmerini, P ^a   Perego, Raffaele ^a  

^a ISTI CNR   (Italy)

^b CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

K-MEANS CLUSTERING; PARALLEL ARCHITECTURES; ALGORITHMS; DATA MINING;

CLUSTERS OF WORKSTATIONS; DATA MINING ALGORITHM; DATA MINING APPLICATIONS; OUT-OF-CORE; SCALABLE IMPLEMENTATION; TEST CASE; K-MEANS ALGORITHM;

DATA MINING; CLUSTERING ALGORITHMS;

EID: 0004133883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45591-4_46     Document Type: Conference Paper

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