{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:DY6BJSUN5ROBGYIBZCQ3CAJZHT","short_pith_number":"pith:DY6BJSUN","schema_version":"1.0","canonical_sha256":"1e3c14ca8dec5c136101c8a1b101393cc52cf181db46ce233a36329a3ace7a92","source":{"kind":"arxiv","id":"1508.05803","version":1},"attestation_state":"computed","paper":{"title":"Searching for significant patterns in stratified data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Dean Bodenham, Felipe Llinares-Lopez, Karsten Borgwardt, Laetitia Papaxanthos","submitted_at":"2015-08-24T13:53:06Z","abstract_excerpt":"Significant pattern mining, the problem of finding itemsets that are significantly enriched in one class of objects, is statistically challenging, as the large space of candidate patterns leads to an enormous multiple testing problem. Recently, the concept of testability was proposed as one approach to correct for multiple testing in pattern mining while retaining statistical power. Still, these strategies based on testability do not allow one to condition the test of significance on the observed covariates, which severely limits its utility in biomedical applications. Here we propose a strate"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1508.05803","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-08-24T13:53:06Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"690bcca00db7622ce4e6259448940d5433794b7b5e2573ec56c20e4236e991b0","abstract_canon_sha256":"57817690224ab2f390381d0445833efa5d4dca7e1ff2fbed88961a6ef266a74d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:34:51.628672Z","signature_b64":"FrWlmsAwYnMnIFOf/ctl+8RnjsTSVct/5lcadjnAC6Bv0h2lxHi7pZN6Ehk6vhrz+VWHNpUB4ZxNYIJyQ9mrDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e3c14ca8dec5c136101c8a1b101393cc52cf181db46ce233a36329a3ace7a92","last_reissued_at":"2026-05-18T01:34:51.628226Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:34:51.628226Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Searching for significant patterns in stratified data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Dean Bodenham, Felipe Llinares-Lopez, Karsten Borgwardt, Laetitia Papaxanthos","submitted_at":"2015-08-24T13:53:06Z","abstract_excerpt":"Significant pattern mining, the problem of finding itemsets that are significantly enriched in one class of objects, is statistically challenging, as the large space of candidate patterns leads to an enormous multiple testing problem. Recently, the concept of testability was proposed as one approach to correct for multiple testing in pattern mining while retaining statistical power. Still, these strategies based on testability do not allow one to condition the test of significance on the observed covariates, which severely limits its utility in biomedical applications. Here we propose a strate"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.05803","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1508.05803","created_at":"2026-05-18T01:34:51.628289+00:00"},{"alias_kind":"arxiv_version","alias_value":"1508.05803v1","created_at":"2026-05-18T01:34:51.628289+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.05803","created_at":"2026-05-18T01:34:51.628289+00:00"},{"alias_kind":"pith_short_12","alias_value":"DY6BJSUN5ROB","created_at":"2026-05-18T12:29:17.054201+00:00"},{"alias_kind":"pith_short_16","alias_value":"DY6BJSUN5ROBGYIB","created_at":"2026-05-18T12:29:17.054201+00:00"},{"alias_kind":"pith_short_8","alias_value":"DY6BJSUN","created_at":"2026-05-18T12:29:17.054201+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT","json":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT.json","graph_json":"https://pith.science/api/pith-number/DY6BJSUN5ROBGYIBZCQ3CAJZHT/graph.json","events_json":"https://pith.science/api/pith-number/DY6BJSUN5ROBGYIBZCQ3CAJZHT/events.json","paper":"https://pith.science/paper/DY6BJSUN"},"agent_actions":{"view_html":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT","download_json":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT.json","view_paper":"https://pith.science/paper/DY6BJSUN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1508.05803&json=true","fetch_graph":"https://pith.science/api/pith-number/DY6BJSUN5ROBGYIBZCQ3CAJZHT/graph.json","fetch_events":"https://pith.science/api/pith-number/DY6BJSUN5ROBGYIBZCQ3CAJZHT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT/action/storage_attestation","attest_author":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT/action/author_attestation","sign_citation":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT/action/citation_signature","submit_replication":"https://pith.science/pith/DY6BJSUN5ROBGYIBZCQ3CAJZHT/action/replication_record"}},"created_at":"2026-05-18T01:34:51.628289+00:00","updated_at":"2026-05-18T01:34:51.628289+00:00"}