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Large-Scale Parallel Data Mining: 1759 (Lecture Notes in Computer Science, 1759)
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Large-Scale Parallel Data Mining: 1759 (Lecture Notes in Computer Science, 1759) - Livres de poche

2000, ISBN: 9783540671947

Editor: Zaki, Mohammed J. Editor: Ho, Ching-Tien, Springer, Paperback, Auflage: 2000, 268 Seiten, Publiziert: 2000-02-23T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: Illustrations, 0.8… Plus…

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Large-Scale Parallel Data Mining - Livres de poche

2000, ISBN: 3540671943

[EAN: 9783540671947], Gebraucht, guter Zustand, [PU: Springer Berlin], INFORMATION EXTRACTION,CLASSIFICATION,DISTRIBUTED SYSTEMS,DATA MINING,PARALLEL DATABASES,SEARCH ALGORITHMS,INTERNET … Plus…

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Large-Scale Parallel Data Mining (Lecture Notes in Computer Science, 1759) - Livres de poche

2000

ISBN: 3540671943

[EAN: 9783540671947], Gebraucht, guter Zustand, [PU: Springer], Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in… Plus…

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Large-Scale Parallel Data Mining (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) - Livres de poche

2002, ISBN: 9783540671947

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Ching-Tien Ho:
Large-Scale Parallel Data Mining - livre d'occasion

ISBN: 9783540671947

Livre, [PU: Springer, Berlin/Heidelberg]

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Large-Scale Parallel Data Mining: 1759 (Lecture Notes in Computer Science, 1759)
Auteur:
Titre:
ISBN:

3540671943


With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extraction of useful information from the data available is becoming an increasing scientific challenge and a massive economic need. This book presents thoroughly reviewed and revised full versions of papers presented at a workshop on the topic held during KDD'99 in San Diego, California, USA in August 1999 complemented by several invited chapters and a detailed introductory survey in order to provide complete coverage of the relevant issues. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks, associations, sequences, clustering, and classification. All in all, the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. It will be a valuable source of reference for researchers and professionals.

Informations détaillées sur le livre - Large-Scale Parallel Data Mining: 1759 (Lecture Notes in Computer Science, 1759)


EAN (ISBN-13): 9783540671947
ISBN (ISBN-10): 3540671943
Version reliée
Livre de poche
Date de parution: 2000
Editeur: Springer
261 Pages
Poids: 0,388 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-05-07T08:33:39+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-08-09T13:24:50+02:00 (Zurich)
ISBN/EAN: 3540671943

ISBN - Autres types d'écriture:
3-540-67194-3, 978-3-540-67194-7
Autres types d'écriture et termes associés:
Auteur du livre: ching, zaki, mohammed, large
Titre du livre: large scale, artificial intelligence, 1759, parallel, lecture notes data mining, berlin, lecture notes computer science

Données de l'éditeur

Auteur: Mohammed J. Zaki; Ching-Tien Ho
Titre: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Large-Scale Parallel Data Mining
Editeur: Springer; Springer Berlin
260 Pages
Date de parution: 2000-02-23
Berlin; Heidelberg; DE
Langue: Anglais
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
VIII, 260 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; classification; data mining; distributed information systems; information extraction; information retrieval; internet searching; parallel databases; search algorithms; algorithm analysis and problem complexity; Artificial Intelligence; Database Management; Information Storage and Retrieval; Computer Communication Networks; Algorithms; Computer and Information Systems Applications; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Netzwerk-Hardware; Algorithmen und Datenstrukturen; Angewandte Informatik; EA

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.
Includes supplementary material: sn.pub/extras

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