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Large-Scale Parallel Data Mining / edited by Mohammed J. Zaki, Ching-Tien Ho.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 1759.
- Lecture Notes in Artificial Intelligence ; 1759
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Database management.
- Information storage and retrieval.
- Computer networks.
- Algorithms.
- Application software.
- Artificial Intelligence.
- Database Management.
- Information Storage and Retrieval.
- Computer Communication Networks.
- Algorithm Analysis and Problem Complexity.
- Information Systems Applications (incl. Internet).
- Local Subjects:
- Artificial Intelligence.
- Database Management.
- Information Storage and Retrieval.
- Computer Communication Networks.
- Algorithm Analysis and Problem Complexity.
- Information Systems Applications (incl. Internet).
- Physical Description:
- 1 online resource (VIII, 260 pages).
- Edition:
- First edition 2000.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
- System Details:
- text file PDF
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-46502-7
- 9783540465027
- Access Restriction:
- Restricted for use by site license.
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