Title :
A fuzzy data mining algorithm for quantitative values
Author :
Hong, Tzung-Pei ; Kuo, Chan-Sheng ; Chi, Sheng-Chai
Author_Institution :
Dept. of Inf. Manage., I-Shou Univ., Kaohsiung, Taiwan
Abstract :
This paper attempts to propose a new data-mining algorithm to enhance the capability of exploring interesting knowledge from transactions with quantitative values. The proposed algorithm integrates the fuzzy set concepts and the a priori mining algorithm to find interesting fuzzy association rules from given transaction data. Experiments on student grades in I-Shou University are also made to verify the performance of the proposed algorithm
Keywords :
data mining; fuzzy logic; a priori mining algorithm; fuzzy association rules; fuzzy data mining algorithm; fuzzy set concepts; quantitative values; Algorithm design and analysis; Association rules; Data mining; Electronic mail; Filtering algorithms; Fuzzy sets; Humans; Information management; Itemsets; Knowledge management;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820227
