Mining Needles in a Haystack: Classifying Rare Classes via Two-Phase Rule Induction

Summary: Two-phase rule induction for rare-class learning: Phase I aims for high recall with broad-support rules; Phase II prunes false positives to improve precision. Synthetic models show when RIPPER and C4.5rules falter; on real intrusion data, the method yields balanced recall–precision comparable or superior. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3261
Venue: SIGMOD
Year: 2001
Pagerank: -
Overall Rank: 13,830 | 3.89%
DOI: -

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