CLS-Miner: efficient and effective closed high-utility itemset mining
暂无分享,去创建一个
[1] Kenli Li,et al. A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment , 2017, IEEE Transactions on Parallel and Distributed Systems.
[2] Wei Song,et al. A high utility itemset mining algorithm based on subsume index , 2016, Knowledge and Information Systems.
[3] Philippe Fournier-Viger,et al. FHM + : Faster High-Utility Itemset Mining Using Length Upper-Bound Reduction , 2016, IEA/AIE.
[4] Philippe Fournier-Viger,et al. An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies , 2016, Knowl. Based Syst..
[5] Kenli Li,et al. An efficient algorithm for mining top-rank-k frequent patterns , 2016, Applied Intelligence.
[6] Vincent S. Tseng,et al. Mining closed+ high utility itemsets without candidate generation , 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).
[7] Zhi-Hong Deng,et al. PrePost+: An efficient N-lists-based algorithm for mining frequent itemsets via Children-Parent Equivalence pruning , 2015, Expert Syst. Appl..
[8] Philip S. Yu,et al. Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets , 2015, IEEE Transactions on Knowledge and Data Engineering.
[9] Philippe Fournier-Viger,et al. FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits , 2014, ADMA.
[10] Vincent S. Tseng,et al. Novel Concise Representations of High Utility Itemsets Using Generator Patterns , 2014, ADMA.
[11] Vincent S. Tseng,et al. FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning , 2014, ISMIS.
[12] Amedeo Napoli,et al. A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes , 2013, Annals of Mathematics and Artificial Intelligence.
[13] Philip S. Yu,et al. Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases , 2013, IEEE Transactions on Knowledge and Data Engineering.
[14] Philip S. Yu,et al. Efficient algorithms for mining maximal high utility itemsets from data streams with different models , 2012, Expert Syst. Appl..
[15] Mengchi Liu,et al. Mining high utility itemsets without candidate generation , 2012, CIKM.
[16] Qiang Yang,et al. Three challenges in data mining , 2010, Frontiers of Computer Science in China.
[17] Young-Koo Lee,et al. Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases , 2009, IEEE Transactions on Knowledge and Data Engineering.
[18] Mohammed J. Zaki,et al. GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets , 2005, Data Mining and Knowledge Discovery.
[19] Gösta Grahne,et al. Fast algorithms for frequent itemset mining using FP-trees , 2005, IEEE Transactions on Knowledge and Data Engineering.
[20] Ying Liu,et al. A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets , 2005, PAKDD.
[21] Mohammed J. Zaki,et al. Efficient algorithms for mining closed itemsets and their lattice structure , 2005, IEEE Transactions on Knowledge and Data Engineering.
[22] Qiang Yang,et al. Mining high utility itemsets , 2003, Third IEEE International Conference on Data Mining.
[23] Mohammed J. Zaki,et al. Fast vertical mining using diffsets , 2003, KDD '03.
[24] Jiawei Han,et al. Mining top-k frequent closed patterns without minimum support , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[25] Nicolas Pasquier,et al. Efficient Mining of Association Rules Using Closed Itemset Lattices , 1999, Inf. Syst..
[26] Nicolas Pasquier,et al. Discovering Frequent Closed Itemsets for Association Rules , 1999, ICDT.
[27] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.
[28] Philip S. Yu,et al. Efficient Algorithms for Mining Top-K High Utility Itemsets , 2016, IEEE Transactions on Knowledge and Data Engineering.
[29] Antonio Gomariz,et al. SPMF: a Java open-source pattern mining library , 2014, J. Mach. Learn. Res..
[30] Yu Liu,et al. BAHUI: Fast and Memory Efficient Mining of High Utility Itemsets Based on Bitmap , 2014, Int. J. Data Warehous. Min..
[31] Wei Song,et al. Mining high utility itemsets by dynamically pruning the tree structure , 2013, Applied Intelligence.
[32] Tzung-Pei Hong,et al. An efficient projection-based indexing approach for mining high utility itemsets , 2012, Knowledge and Information Systems.
[33] Salvatore Orlando,et al. Fast and memory efficient mining of frequent closed itemsets , 2006, IEEE Transactions on Knowledge and Data Engineering.
[34] J. Pei,et al. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[35] Hiroki Arimura,et al. LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets , 2004, FIMI.
[36] R. Agarwal. Fast Algorithms for Mining Association Rules , 1994, VLDB 1994.