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显示项目 11-21 / 21 (共1页)
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机构 日期 题名 作者
國立交通大學 2017-04-21T06:55:18Z Fast algorithms for mining high-utility itemsets with various discount strategies Lin, Jerry Chun-Wei; Gan, Wensheng; Fournier-Viger, Philippe; Hong, Tzung-Pei; Tseng, Vincent S.
國立交通大學 2017-04-21T06:50:15Z Efficient Mining of Uncertain Data for High-Utility Itemsets Lin, Jerry Chun-Wei; Gan, Wensheng; Fournier-Viger, Philippe; Hong, Tzung-Pei; Tseng, Vincent S.
國立交通大學 2017-04-21T06:49:37Z EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets Fournier-Viger, Philippe; Zida, Souleymane; Lin, Jerry Chun-Wei; Wu, Cheng-Wei; Tseng, Vincent S.
國立交通大學 2017-04-21T06:49:25Z Mining Minimal High-Utility Itemsets Fournier-Viger, Philippe; Lin, Jerry Chun-Wei; Wu, Cheng-Wei; Tseng, Vincent S.; Faghihi, Usef
國立交通大學 2017-04-21T06:48:58Z Mining High-Utility Itemsets with Various Discount Strategies Lin, Jerry Chun-Wei; Gan, Wensheng; Fournier-Viger, Philippe; Hong, Tzung-Pei; Tseng, Vincent S.
國立交通大學 2016-03-28T00:05:42Z EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining Zida, Souleymane; Fournier-Viger, Philippe; Lin, Jerry Chun-Wei; Wu, Cheng-Wei; Tseng, Vincent S.
國立交通大學 2016-03-28T00:05:41Z Efficient Mining of High-Utility Sequential Rules Zida, Souleymane; Fournier-Viger, Philippe; Wu, Cheng-Wei; Lin, Jerry Chun-Wei; Tseng, Vincent S.
國立交通大學 2016-03-28T00:04:27Z Weighted frequent itemset mining over uncertain databases Lin, Jerry Chun-Wei; Gan, Wensheng; Fournier-Viger, Philippe; Hong, Tzung-Pei; Tseng, Vincent S.
國立成功大學 2016 An efficient algorithm to maintain the discovered frequent sequences with record deletion Lin, Jerry Chun-Wei; Gan, Wensheng; Hong, Tzung-Pei; Chen, Hsin-Yi; Li, Sheng-Tun
國立成功大學 2015-08-01 Efficient algorithms for mining up-to-date high-utility patterns Lin, Jerry Chun-Wei; Gan, Wensheng; Hong, Tzung-Pei; Tseng, Vincent S.
國立成功大學 2015 Incrementally updating the discovered sequential patterns based on pre-large concept Lin, Jerry Chun-Wei; Hong, Tzung-Pei; Gan, Wensheng; Chen, Hsin-Yi; Li, Sheng-Tun

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