Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation
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[1] Fabrizio Silvestri,et al. WebDocs: a real-life huge transactional dataset , 2004, FIMI.
[2] Xiangke Liao,et al. RegTT: Accelerating Tree Traversals on GPUs by Exploiting Regularities , 2016, 2016 45th International Conference on Parallel Processing (ICPP).
[3] Stephen Jones,et al. XMalloc: A Scalable Lock-free Dynamic Memory Allocator for Many-core Machines , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.
[4] Fei Wang,et al. Parallel Frequent Pattern Mining without Candidate Generation on GPUs , 2014, 2014 IEEE International Conference on Data Mining Workshop.
[5] Min-Soo Kim,et al. GMiner: A fast GPU-based frequent itemset mining method for large-scale data , 2018, Inf. Sci..
[6] Bingsheng He,et al. Frequent itemset mining on graphics processors , 2009, DaMoN '09.
[7] Ke Wang,et al. Top Down FP-Growth for Association Rule Mining , 2002, PAKDD.
[8] Edward Y. Chang,et al. Pfp: parallel fp-growth for query recommendation , 2008, RecSys '08.
[9] Christian Borgelt,et al. An implementation of the FP-growth algorithm , 2005 .
[10] Hao Jiang,et al. A Parallel FP-Growth Algorithm Based on GPU , 2017, 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE).
[11] Jian Pei,et al. Mining frequent patterns without candidate generation , 2000, SIGMOD '00.
[12] Fan Zhang,et al. GPApriori: GPU-Accelerated Frequent Itemset Mining , 2011, 2011 IEEE International Conference on Cluster Computing.
[13] M. Steinberger,et al. ScatterAlloc: Massively parallel dynamic memory allocation for the GPU , 2012, 2012 Innovative Parallel Computing (InPar).
[14] Michael Goldfarb,et al. General transformations for GPU execution of tree traversals , 2013, 2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC).