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)
Incoming Non-self Citations Over Time
Authors
- 1. Amol Ghoting
- 2. Gregory Buehrer
- 3. Srinivasan Parthasarathy
- 4. Daehyun Kim
- 5. Anthony Nguyen
- 6. Yen-Kuang Chen
- 7. Pradeep Dubey
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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