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Cache-conscious Frequent Pattern Mining on a Modern Processor

Summary: Cache-conscious prefix tree for frequent pattern mining on modern CPUs to boost data locality and cache-line prefetching. A tiling strategy and co-scheduled multi-threading improve temporal locality and cross-thread cache reuse, delivering up to 4.8x speedup over state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9337
Venue
VLDB
Year
2005
Pagerank
6.9062146e-05
Overall Rank
3,623 | 74.80%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,044 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00014475229
1,676 Speedup Graph Processing by Graph Ordering 2016 SIGMOD 0.00010946423
8,265 ADDICT: Advanced Instruction Chasing for Transactions 2014 VLDB 4.5461133e-05
12,462 Optimization of Frequent Itemset Mining on Multiple-Core Processor 2007 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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