Large-Scale Parallel Data Mining
Large-Scale Parallel Data Mining [electronic resource] /
edited by Mohammed J. Zaki, Ching-Tien Ho.
- 1st ed. 2000.
- VIII, 260 p. online resource.
- Lecture Notes in Artificial Intelligence, 1759 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 1759 .
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.
9783540465027
10.1007/3-540-46502-2 doi
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Computer networks .
Algorithms.
Application software.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Computer Communication Networks.
Algorithms.
Computer and Information Systems Applications.
Q334-342 TA347.A78
006.3
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.
9783540465027
10.1007/3-540-46502-2 doi
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Computer networks .
Algorithms.
Application software.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Computer Communication Networks.
Algorithms.
Computer and Information Systems Applications.
Q334-342 TA347.A78
006.3