Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2012 (Vol. 4, Issue: 19)
Article Information:

Sequential Pattern Mining by Multi- Threading Techniques

Reza Noorian Talouki and Mehdi Sobhkhiz Talouki
Corresponding Author:  Hamid Alinejad-Rokny 

Key words:  Multi-threading , sequential patterns, thread scheduling, , , ,
Vol. 4 , (19): 3552-3557
Submitted Accepted Published
January 11, 2012 March 15, 2012 October 01, 2012

Discovery of Sequential pattern mining is an important data mining mission with wide applications. One of the most important types of sequential patterns is closed sequential pattern, which holds all the information of the perfect patterns set but is much more compact than it. There is no model that used multithreading techniques for parallel mining of closed sequential patterns. In this paper an algorithm called MTMCSP (multi-thread mining of closed sequential patterns) is recommended to conduct parallel mining of closed sequential patterns on a multi-processor system as a multi-threading technique. MTMCSP divides the works among the tasks by using the divide-and-conquer property. The proposed algorithm has used dynamic scheduling to avoid task idling, moreover we have employed a technique, called random selecting. The experimental results show that MTMCSP attains good parallelization efficiencies on various input datasets.
Abstract PDF HTML
  Cite this Reference:
Reza Noorian Talouki and Mehdi Sobhkhiz Talouki, 2012. Sequential Pattern Mining by Multi- Threading Techniques.  Research Journal of Applied Sciences, Engineering and Technology, 4(19): 3552-3557.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved