Title :
Improved paralled algorithm for mining frequent item-set used in HRM
Author :
Zhang, Xueping ; Zhu, Yanxia ; Hua, Nan
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
Based on FP-tree algorithm, this article introduced the method of multi-thread processing and a Multi-Threaded Paralleled frequent item-set mining Algorithm - MTPA was proposed. It has been applied to an enterprise human resources management system. Through the experiments of paralleled mining by using increasing multi-thread processing, it has been proved that MTPA which on the condition of multi-core processors can improve the efficiency of frequent item-set mining effectively.
Keywords :
data mining; human resource management; multi-threading; parallel algorithms; FP-tree algorithm; enterprise human resources management system; multicore processors; multithread processing; multithreaded paralleled frequent item-set mining algorithm; Algorithm design and analysis; Data mining; Educational institutions; Itemsets; Resource management; FP-tree; MTPA; frequent item-set; human recourses management(HRM); multi-thread; paralled data mining;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569250
