Mining Associated Factors about Emotional Disease Bases on FP-Tree Growing Algorithm

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XU Ai-ping 1,* TANG Yuan 1 WANG Qi 1 QIAO Ming-qi 2 ZHANG Hui-yun 2 WEI Sheng 2

1. School of Computer, Wuhan University, Wuhan, China, 430079

2. Basic Medicinal College, Shandong University of Chinese Traditional Medicine, Jinan, China, 250355

* Corresponding author.


Received: 3 May 2011 / Revised: 9 Jun. 2011 / Accepted: 22 Jul. 2011 / Published: 29 Aug. 2011

Index Terms

Frequent itemsets, FP-Tree, Associated factors, Emotional disease, Mining


The objective of this paper is to mine the useful information from anger and anger-in life events questionnaire, Eysenck Personality Questionnaire (EPQ) , State Trait Anger eXpression Inquiry (STAXI) Scale, Trait Coping Style Questionnair (TCSQ), Perceived Social Support Scale (PSSS) , anger and anger-in predisposition questionnaire, anger and anger-in Physiological State Questionnaire (PSQ) and a number of test indicator data, Look for associated factors, fumble rule, guide people to do early prevention and treatment. In this paper the forming process of FP-tree of the Emotional database is analyzed, the algorithm of structuring frequent model FP-tree and mining frequent itemsets are designed, the database information scanned is recorded by using FP-Tree growing algorithm through state-trees, frequent itemsets meet minimum support required are generated through reducing the search space of project sets and scanning database only one. The mine of all factors associated with emotional disease is actualized. The experiment shows strong factors associated with emotional disease can be mined from database system by the mining algorithm bases on FP-Tree frequent itemsets. The mining results can provide scientific basis for the analysis, prevention and treatment of symptoms.

Cite This Paper

XU Ai-ping,TANG Yuan,WANG Qi,QIAO Ming-qi,ZHANG Hui-yun,WEI Sheng,"Mining Associated Factors about Emotional Disease Bases on FP-Tree Growing Algorithm", IJEM, vol.1, no.4, pp.25-31, 2011. DOI: 10.5815/ijem.2011.04.04 


[1]QIAO ming-qi, ZHANG Hui-yun, CHEN Yu-zhen, YIN Jing-hai,HU Chun-yu. Hypothesis of “several interlaced emotions causing disease and firstly impairing liver” and demonstration. Journal of SHANDONG university of Traditional Chinese Medicine. 2006; vol. 30(1), pp.8-10 (in chinese)
[2]QIAO Ming-qi,WANG Wen-yan,ZHANG Hui-yun. Epidemiological Survey on Etiology of Gan-qi Inversion Syndrome and Gan-qi Stagnation Syndrome and Study on the Evocative Mode of Emotional Diseases. Chinese Journal of Integrative Medicine. 2007, vol. 27(2) , pp.117-119 (in chinese)
[3]HUChun-yu, AN Li, WANG Jing-jing. Discussion on possibility of forming angry constitution scale. Journal of SHANDONG university of Traditional Chinese Medicine. 2007, vol. 31(6), pp.446-448 (in chinese)
[4]XU Ai-ping, ZHANG Deng-yi, QIAO Ming-qi, etc. Study on Database System about Emotional Diseases Caused by Anger-out and Anger-in. 2010 International Conference on Biomedical Engineering and Computer Science.: 559-563
[5]J Han,J Pei,Y Yin. Mining frequent patterns without candidate generation. In: M Dunham,J Naughton,W Chen,eds.Proc of 2000 ACM-SIGMOD INT’I Conf on Management of Data(SIGMOD’00).New York:ACM Press,2000,1-12
[6]Mei Jun,Zheng Gang.An Algorithm for Mining Maximum Frequent Item Sets Based on FP-tree. Research and Development, 2009.9:33-35 (in chinese)
[7]Qin Liangxi,Su Yongxiu,Liu Yongbin,and Liang Bizhen.A Compact FP-Tree and Array-Technique Based Algorithm for Frequent Patterns Mining, Journal of Computer Research and Development, 2008,45:244-249 (in chinese)
[8]Guo Wei,Ye De-qian. Improved algorithm for frequent itemset mining based on FP-tree. Computer Engineering and Applications,2007,43(19):174-176 (in chinese)