21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) A Parallel Mining Algorithm for Closed Sequential Patterns Niagara Falls, Ontario, Canada May 21-May 23 ISBN: 0-7695-2847-3
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.40
Mining closed sequential patterns is an important data mining task with broad applications, the large dataset acquires us to use the parallel technique to solve the problems in data mining. A new parallel algorithm named Par-ClosP is introduced in this paper. It partitions the task to each processor, reduces the communication among the processors, uses pseudo projection technique to minimize the use of time and space, and it introduces a new pruning method, thus improves the efficiency of the algorithm.
Index Terms:
data mining; closed sequential pattern; parallel algorithm; pseudo projection
Citation:
Tian Zhu, Sixue Bai, "A Parallel Mining Algorithm for Closed Sequential Patterns," ainaw, vol. 1, pp.392-395, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||