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《Computers and Applied Chemistry》 2001-Z1
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Apriori Algorithm in Infrared Spectra Data Mining

WANG Xiao\|feng 1,2 , WANG Tian\|ran 1, CHENG Yuan\|jie 2, YIN Dan\|na 2 (1 Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110003, China; 2 Shenyang Institute of Chemical Technology,Shenyang 110021, China)  
The Apriori algorithm of mining large database for associate rules is introduced simply. The space express method of knowledge discovery from infrared spectra database is proposed, and the computation method of support and procedure of frequent itemsets confirmed in Apriori algorithm are improved according to peculiarity of infrared spectra data mining, the analysis and evaluation of mining results are also presented by with of mining real infrared spectra data, the direction of next research work is disused in the end. The results of mining IR spectra are translated into visual rules of IR characteristic peak-substructure by statistic. The validity of mined rules is proved through mined rules compare with spectrum analysis theory, and it is effective and useful method to mine database of IR spectra by improved Apriori algorithm.
【Fund】: 辽宁省自然科学基金 ( 9910 2 0 0 2 0 5 ) ;; 高校科研基金 ( 2 0 0 12 0 73)资助
【CateGory Index】: TP311.12
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