Tài liệu tham khảo |
Loại |
Chi tiết |
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Tiêu đề: |
Inter - transactional association rules for multi-dimensional contexts for prediction and their application to studying meteorological data. Data and Knowledge Engineering |
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[6] Lee, A.J.T., Wang, C.S., 2007. An efficient algorithm for mining frequent inter- transaction patterns. Infomation Sciences 177 , 3453-3476 |
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[7] Lee, A.J.T., Wang, C.S., Weng, W.Y., Chen, Y.A., Wu, H.W., 2008. An efficient algorithm for mining closed inter-transaction itemsets. Data and Knowledge Engineering 66 , 68-91 |
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An efficient algorithm for mining closed inter-transaction itemsets. Data and Knowledge Engineering |
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Tiêu đề: |
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Tiêu đề: |
Stock movement prediction and n-dimensional inter-transaction association rules, in: Proc. Of the ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Seattle, Washington |
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[11] Lu, H., Feng, L., Han, J., 2000. Beyond intra – transactional association analysis: mining multi – Dimensional inter – transaction association rules, ACM Transactions on Information Systems 18 (4) 423-454 |
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Tiêu đề: |
Beyond intra – transactional association analysis: "mining multi – Dimensional inter – transaction association rules, ACM Transactions on Information Systems |
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[13] Peng, W.C., Liao, Z.X., 2009. Mining sequential patterns across multiple sequence databases. Data and Knowledge Engineering 68 1014-1033 |
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Mining sequential patterns across multiple sequence databases. Data and Knowledge Engineering |
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[14] Tung, K., H., Lu, H., Han, J., Feng, L., 1999. Breaking the barrier of transaction: mining inter-transaction association rules, in: Proc. ACM SIGKDD Intl. Conf.Knowledge Discovery and Data Mining 297-301 |
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Tiêu đề: |
Breaking the barrier of transaction: "mining inter-transaction association rules, in: Proc. ACM SIGKDD Intl. Conf. "Knowledge Discovery and Data Mining |
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Mining inter-sequence patterns. Expert Systems with Applicatins |
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[17] Wang, C.S., Liu, Y.H., Chu, K.C., 2013. Closed inter-sequence pattern mining. The Journal of Systems and Software 1603-1612 |
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Closed inter-sequence pattern mining. "The Journal of Systems and Software |
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[19] Zaki, J., Hsiao, C., 2005. Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure, IEEE Transactions on Knowledge and Data Engineering 17 (4) 462-478 |
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Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure, IEEE Transactions on Knowledge and Data Engineering |
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[12] Pasquier, N., Bastide, Y., Taouil, R., Lakhal, L., 1999 Discovering frequent closed itemsets for association rules. In7th Intl. Conf. On Database Theory |
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[16] Wang, C.S., Chu, K.C., 2011. Using a projection-base approach to mine frequent inter-transaction patterns. Expert Systems with Applications |
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[18] Zaki, J., Hsiao, C., 1999. CHARM: An efficient algorithm for closed association rule mining. In Tech. Rep. 99-10, Computer Science, Rensselaer Polytechnic Institute |
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