Large-Scale Parallel Data Mining

272 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Lecture Notes in Computer Science
• Themen: Informatik und Informationstechnologie Datenbanken / Datenmanagement Data Warehousing
• ISBN: 9783540671947
• Sprache: Englisch
• Erscheinungsdatum: 23.02.2000
• Größe: 235 x 155 mm
• Verlag: Springer
• Herausgegeben von: Mohammed J. Zaki, Ching-Tien Ho