DocumentCode
3521480
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
fYear
1999
fDate
36495
Firstpage
480
Lastpage
483
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-5578-4
Type
conf
DOI
10.1109/KES.1999.820227
Filename
820227
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