Development of Complete Association Rules in Bioinformatics

• Main Authors: Ji-hong Jheng, 鄭吉宏
• Other Authors: 孫光天
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/63427676974473420046

碩士 === 國立臺南大學 === 數位學習科技學系碩士班 === 96 === Data mining technology has often used in finding hidden information and automatic decision of biological and medical information systems. In data mining, association rule is a technology of mining the items if including special regular patterns in large database. Association rule applied in bioinformatics was analyzed biological sequences to search some relation between different nucleotide or protein sequences. But the design of association rule was not on biological sequence data properties. In some case, the algorithm would delete the sequences that including important biological message according to minimal support value. In other case, it would produce so many rules that research workers could not experiment on biological sequences. We must develop other mining association rule algorithm to Integrating whole rule qualities. We use Boolean algebra operations to deal with biological sequences. It reduces the logical relation of each rules and developes complete association rules algorithm for mining biological sequences that including hidden messae.