Database Paper Browser

Back to papers

IL-Miner: Instance-Level Discovery of Complex Event Patterns

Summary: IL-Miner performs instance-level discovery of complex event patterns from historic, labelled data, avoiding predefined event abstractions. Multi-phase abstraction learning prunes the search space with guarantees of correctness, minimality, and completeness, yielding a broader set of patterns than state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11523
Venue
VLDB
Year
2017
Pagerank
5.2290408e-05
Overall Rank
6,067 | 57.80%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers