關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Mining Strong Positive and Negative Sequential Patterns

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序號 學年期 教師動態
1 96/2 資工系 闕豪恩 助理教授 期刊論文 發佈 Mining Strong Positive and Negative Sequential Patterns , [96-2] :Mining Strong Positive and Negative Sequential Patterns期刊論文Mining Strong Positive and Negative Sequential Patterns探勘強勢正向及負向序列型樣Lin, Nancy P.; Chen, Hung-jen; Hao, Wei-hua; Chueh, Hao-en; Chang, Chung-i淡江大學軍訓室; 淡江大學資訊工程學系Data mining, Itemset, Frequent sequence, Positive sequential pattern, Negative sequential pattern, Strong sequential patternZographou: World Scientific and Engineering Academy and SocietyWSEAS Transations on Computers 7(3), pp.119-124In data mining field, sequential pattern mining can be applied in divers applications such as basket analysis, web access patterns analysis, and quality control in manufactory engineering, etc. Many methods have been proposed for mining sequential patterns. However, conventional methods only consider the occurrences of itemsets in customer sequences. The sequential patterns discovered by these methods are called as positive sequential patterns, i.e., such sequential patterns only represent the occurrences of itemsets. In practice, the absen
2 96/2 資工系 陳宏任 講師 期刊論文 發佈 Mining Strong Positive and Negative Sequential Patterns , [96-2] :Mining Strong Positive and Negative Sequential Patterns期刊論文Mining Strong Positive and Negative Sequential Patterns探勘強勢正向及負向序列型樣Lin, Nancy P.; Chen, Hung-jen; Hao, Wei-hua; Chueh, Hao-en; Chang, Chung-i淡江大學軍訓室; 淡江大學資訊工程學系Data mining, Itemset, Frequent sequence, Positive sequential pattern, Negative sequential pattern, Strong sequential patternZographou: World Scientific and Engineering Academy and SocietyWSEAS Transations on Computers 7(3), pp.119-124In data mining field, sequential pattern mining can be applied in divers applications such as basket analysis, web access patterns analysis, and quality control in manufactory engineering, etc. Many methods have been proposed for mining sequential patterns. However, conventional methods only consider the occurrences of itemsets in customer sequences. The sequential patterns discovered by these methods are called as positive sequential patterns, i.e., such sequential patterns only represent the occurrences of itemsets. In practice, the absen
3 96/2 資工系 郝維華 講師 期刊論文 發佈 Mining Strong Positive and Negative Sequential Patterns , [96-2] :Mining Strong Positive and Negative Sequential Patterns期刊論文Mining Strong Positive and Negative Sequential Patterns探勘強勢正向及負向序列型樣Lin, Nancy P.; Chen, Hung-jen; Hao, Wei-hua; Chueh, Hao-en; Chang, Chung-i淡江大學軍訓室; 淡江大學資訊工程學系Data mining, Itemset, Frequent sequence, Positive sequential pattern, Negative sequential pattern, Strong sequential patternZographou: World Scientific and Engineering Academy and SocietyWSEAS Transations on Computers 7(3), pp.119-124In data mining field, sequential pattern mining can be applied in divers applications such as basket analysis, web access patterns analysis, and quality control in manufactory engineering, etc. Many methods have been proposed for mining sequential patterns. However, conventional methods only consider the occurrences of itemsets in customer sequences. The sequential patterns discovered by these methods are called as positive sequential patterns, i.e., such sequential patterns only represent the occurrences of itemsets. In practice, the absen
4 96/2 軍訓室 張忠義 少校教官 期刊論文 發佈 Mining Strong Positive and Negative Sequential Patterns , [96-2] :Mining Strong Positive and Negative Sequential Patterns期刊論文Mining Strong Positive and Negative Sequential Patterns探勘強勢正向及負向序列型樣Lin, Nancy P.; Chen, Hung-jen; Hao, Wei-hua; Chueh, Hao-en; Chang, Chung-i淡江大學軍訓室; 淡江大學資訊工程學系Data mining, Itemset, Frequent sequence, Positive sequential pattern, Negative sequential pattern, Strong sequential patternZographou: World Scientific and Engineering Academy and SocietyWSEAS Transations on Computers 7(3), pp.119-124In data mining field, sequential pattern mining can be applied in divers applications such as basket analysis, web access patterns analysis, and quality control in manufactory engineering, etc. Many methods have been proposed for mining sequential patterns. However, conventional methods only consider the occurrences of itemsets in customer sequences. The sequential patterns discovered by these methods are called as positive sequential patterns, i.e., such sequential patterns only represent the occurrences of itemsets. In practice, the absen
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