Large-Scale Parallel Data Mining
Titre:
Large-Scale Parallel Data Mining
ISBN (Numéro international normalisé des livres):
9783540465027
Edition:
1st ed. 2000.
PRODUCTION_INFO:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
Description physique:
VIII, 260 p. online resource.
Collections:
Lecture Notes in Artificial Intelligence, 1759
Table des matières:
Large-Scale Parallel Data Mining -- Parallel and Distributed Data Mining: An Introduction -- Mining Frameworks -- The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project -- A High Performance Implementation of the Data Space Transfer Protocol (DSTP) -- Active Mining in a Distributed Setting -- Associations and Sequences -- Efficient Parallel Algorithms for Mining Associations -- Parallel Branch-and-Bound Graph Search for Correlated Association Rules -- Parallel Generalized Association Rule Mining on Large Scale PC Cluster -- Parallel Sequence Mining on Shared-Memory Machines -- Classification -- Parallel Predictor Generation -- Efficient Parallel Classification Using Dimensional Aggregates -- Learning Rules from Distributed Data -- Clustering -- Collective, Hierarchical Clustering from Distributed, Heterogeneous Data -- A Data-Clustering Algorithm on Distributed Memory Multiprocessors.
Auteur collectif ajouté:
Accès électronique:
Full Text Available From Springer Nature Computer Science Archive Packages
Langue:
Anglais