教師資料查詢 | 類別: 期刊論文 | 教師: 陳俊豪 CHUN-HAO CHEN (瀏覽個人網頁)

標題:Mining fuzzy temporal association rules by item lifespans
學年104
學期2
出版(發表)日期2016/04/01
作品名稱Mining fuzzy temporal association rules by item lifespans
作品名稱(其他語言)
著者Chun-Hao Chena; Guo-Cheng Lanb; Tzung-Pei Hong; Shih-Bin Lind
單位
出版者
著錄名稱、卷期、頁數Applied Soft Computing 41, pp.265–274
摘要Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. In real-world applications, transactions may contain quantitative values and each item may have a lifespan from a temporal database. In this paper, we thus propose a data mining algorithm for deriving fuzzy temporal association rules. It first transforms each quantitative value into a fuzzy set using the given membership functions. Meanwhile, item lifespans are collected and recorded in a temporal information table through a transformation process. The algorithm then calculates the scalar cardinality of each linguistic term of each item. A mining process based on fuzzy counts and item lifespans is then performed to find fuzzy temporal association rules. Experiments are finally performed on two simulation datasets and the foodmart dataset to show the effectiveness and the efficiency of the proposed approach.
關鍵字Fuzzy set;Fuzzy data mining;Fuzzy temporal association rule;Item lifespan
語言英文
ISSN1568-4946
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式,紙本
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