Prins. Mining approximate frequent itemsets from noisy data. In Proceedings of the IEEE International Conference on Data Mining (ICDM), pages 721-724. IEEE, 2005.J. Liu, S. Paulsen, W.Wang, A. Nobel, and J. Prins, "Mining Approximate Frequent Itemsets from Noisy Data," in ICDM, pages ...
Mining Approximate Frequent Itemsets in the Presence of …:近似挖掘频繁项集的存在…频繁,项集,挖掘,挖掘频繁,Inthe,the,近似挖掘,项集挖掘 文档格式: .ppt 文档大小: 1.53M 文档页数: 34页 顶/踩数: 0/0 收藏人数: 1 评论次数: 0 文档热度: ...
It will compute the recentapproximate frequent itemsets by using a single pass algorithm. The empirical results demonstrate theefficacy of the proposed approach for finding recent frequent itemsets from a data stream.doi:10.5121/ijdkp.2012.2601J Chandrika...
A data stream is fast, unlimited and dynamic, these characteristics constraint the computational resources and storages when mining frectuent itemsets. This paper addressed this problem and proposed a simple and effective algorithm AFIoDS, AFIoDS is an a
A data stream is fast, unlimited and dynamic, these characteristics constraint the computational resources and storages when mining frectuent itemsets. This paper addressed this problem and proposed a simple and effective algorithm AFIoDS, AFIoDS is an approximate algorithm based on sliding window mode...
Approximate Frequent ItemsThe mechanism of Frequent Itemset Mining can be performed by using sequential algorithms like Apriori on a standalone system, or it can be applied using parallel algorithms like Count Distributionon...doi:10.1007/s41870-019-00310-0Wazir, Samar...
1) mining of frequently itemsets 频繁集挖掘 2) inverse frequent set mining 反频繁集挖掘 1. The paper proposes a method of approximateinverse frequent set mining,analyies its computational complexity,and concludes that approximateinverse frequent set miningis NP-complete. ...
Mining approximate frequent itemsets from noisy data Frequent itemset mining is a popular and important first step in analyzing data sets across a broad range of applications. The traditional, "exact" approac... J Liu,S Paulsen,W Wei,... - IEEE International Conference on Data Mining 被引量...
This problem is further improved in our approximate mining algorithm, in which we propose a heuristic rule-based strategy. Additionally, it can save more computational cost with a tolerable mining error. Theoretical analysis and experimental studies demonstrate that our proposed algorithms have high ...
Mining Approximate Closed Frequent Itemsets over Stream Frequent itemset mining is a very important problem in data mining. Closed frequent itemsets is the condensed representation of frequent itemsets thus spen... H Li,Z Lu,C Hong - IEEE Computer Society 被引量: 8发表: 2008年 Mining frequent ...