DocumentCode
2027323
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
Volume
6
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2830
Lastpage
2833
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569250
Filename
5569250
Link To Document