Sequential Pattern Mining

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (39 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• CASTER: Predicting Drug Interactions with Chemical Substructure Representation
  15 Nov 2019 2 repositories listed
  Adverse drug-drug interactions (DDIs) remain a leading cause of morbidity and mortality.
• Causal Analysis of Customer Churn Using Deep Learning
  20 Apr 2023 1 repository listed
  Causal analysis of the churn model can predict whether a customer will churn in the foreseeable future and assist enterprises to identify effects and possible causes for churn and subsequently use that knowledge to…
• Mining compact high utility sequential patterns
  22 Feb 2023 1 repository listed
  To reduce complexity and obtain a compact set of frequent high utility sequential patterns (FHUSPs), this paper proposes an algorithm named CHUSP for mining closed frequent high utility sequential patterns (CHUSPs).
• HUSP-SP: Faster Utility Mining on Sequence Data
  29 Dec 2022 1 repository listed
  High-utility sequential pattern mining (HUSPM) has emerged as an important topic due to its wide application and considerable popularity.
• Leveraging Language Foundation Models for Human Mobility Forecasting
  11 Sep 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this paper, we propose a novel pipeline that leverages language foundation models for temporal sequential pattern mining, such as for human mobility forecasting tasks.
• Memory-Efficient Sequential Pattern Mining with Hybrid Tries
  6 Feb 2022 1 repository listed
  This paper develops a memory-efficient approach for Sequential Pattern Mining (SPM), a fundamental topic in knowledge discovery that faces a well-known memory bottleneck for large data sets.
• Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union
  29 Oct 2020 1 repository listed
  Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence.
• Constraint-based Sequential Pattern Mining with Decision Diagrams
  14 Nov 2018 1 repository listed
  Constrained sequential pattern mining aims at identifying frequent patterns on a sequential database of items while observing constraints defined over the item attributes.
• A Subsequence Interleaving Model for Sequential Pattern Mining
  16 Feb 2016 1 repository listed
  Recent sequential pattern mining methods have used the minimum description length (MDL) principle to define an encoding scheme which describes an algorithm for mining the most compressing patterns in a database.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.