FEEDBACK Smiley face
Normal view MARC view ISBD view

Large-Scale Parallel Data Mining [electronic resource] /

Contributor(s): Zaki, Mohammed J [editor.] | Ho, Ching-Tien [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1759Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2000.Description: VIII, 260 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540465027.Subject(s): Computer science | Computer communication systems | Algorithms | Database management | Information storage and retrieval | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Database Management | Information Storage and Retrieval | Computer Communication Networks | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet)Online resources: Click here to access online
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.
In: Springer eBooks
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.

© IIIT-Delhi, 2013 | Phone: +91-11-26907510| FAX +91-11-26907405 | E-mail: library@iiitd.ac.in