Proponent 发表于 2025-3-28 16:31:20
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620467.jpgPillory 发表于 2025-3-29 00:38:05
A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasetsta. SSCR combines statistically significant association rules with cost-sensitive learning to build an associative classifier. Experimental results show that SSCR achieves best performance in terms of true positive rate and recall on real-world imbalanced datasets, compared with CBA and C4.5.fertilizer 发表于 2025-3-29 03:52:43
A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scoreut the need to consider large numbers of permutations. This mechanism has been incorporated into the Banded Pattern Mining (BPM) algorithm proposed in this paper. The operation of BPM is fully discussed. A Complete evaluation of the BPM algorithm is also presented clearly indicating the advantages o漂泊 发表于 2025-3-29 08:58:03
ACCD: Associative Classification over Concept-Drifting Data Streamsthm over data streams), AUEH (Accuracy updated ensemble with Hoeffding tree) and VFDT(Very Fast Decision Trees) on 4 real-world data stream datasets, ACCD exhibits the best performance in terms of accuracy.flutter 发表于 2025-3-29 14:23:22
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Monitoring Distributed Data Streams through Node Clusteringempt to collect together similar data items, monitoring requires clusters with . vectors canceling each other as much as possible. In particular, sub–clusters of a good cluster do not have to be good. This novel type of clustering dictated by the problem at hand requires development of new algorithmHiatus 发表于 2025-3-29 19:55:02
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http://reply.papertrans.cn/63/6205/620467/620467_49.pngexercise 发表于 2025-3-30 04:21:18
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