RareSense: Rarity-Aware Similarity Search for Anomaly Retrieval in Transactional Data
Similarity search over sparse set-valued data is often dominated by frequent background attributes because classical measures such as Jaccard, cosine, and Hamming compare objects through atomic overlap. IDF (Inverse document frequency) weighting partially reduces this effect but remains atom-wise and cannot explicitly represent informative higher-order co-occurrences. We introduce RareSense, a rarity-aware similarity framework for sparse transactional anomaly data. RareSense mines minimal rare itemsets as intermediate structures, derives reliable rare association rules, maps objects into sparse rare-rule profiles, and compares them using weighted Jaccard similarity. Rule weights combine i...
| Authors | Sidahmed Benabderrahmane, Talal Rahwan |
|---|---|
| Primary category | cs.IR |
| Published | 30 July 2026 |
| Last updated at source | 30 July 2026 |
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