{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:73LRTQMX2R4LZXW7EWVSRLGRUB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3eb0ac57e7891e5b3c71fdc217ea1619bb0da6f60b12de6145c535cc8705050c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-06T01:54:57Z","title_canon_sha256":"7e9e95f26deeee3b979c881687835ddda970a33dd58900e1b0126432704e0e06"},"schema_version":"1.0","source":{"id":"1904.03336","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.03336","created_at":"2026-07-05T00:04:07Z"},{"alias_kind":"arxiv_version","alias_value":"1904.03336v2","created_at":"2026-07-05T00:04:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.03336","created_at":"2026-07-05T00:04:07Z"},{"alias_kind":"pith_short_12","alias_value":"73LRTQMX2R4L","created_at":"2026-07-05T00:04:07Z"},{"alias_kind":"pith_short_16","alias_value":"73LRTQMX2R4LZXW7","created_at":"2026-07-05T00:04:07Z"},{"alias_kind":"pith_short_8","alias_value":"73LRTQMX","created_at":"2026-07-05T00:04:07Z"}],"graph_snapshots":[{"event_id":"sha256:45ef3e1dd70b00ddbecc344b5e223152dc81de1bdb98d378b9011b8d27315cb4","target":"graph","created_at":"2026-07-05T00:04:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1904.03336/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of data mining and analytics, the utility theory from Economic can bring benefits in many real-life applications. In recent decade, a new research field called utility-oriented mining has already attracted great attention. Previous studies have, however, the limitation that they rarely consider the inherent correlation of items among patterns. Consider the purchase behaviors of consumer, a high-utility group of products (w.r.t. multi-products) may contain several very high-utility products with some low-utility products. However, it is considered as a valuable pattern even if this","authors_text":"Hamido Fujita, Han-Chieh Chao, Jerry Chun-Wei Lin, Philip S. Yu, Wensheng Gan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-06T01:54:57Z","title":"Correlated Utility-based Pattern Mining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.03336","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c5131c7d5ab67cf641e3d80d605257f71d4877353dc320f9488884af1a9dcfec","target":"record","created_at":"2026-07-05T00:04:07Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3eb0ac57e7891e5b3c71fdc217ea1619bb0da6f60b12de6145c535cc8705050c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2019-04-06T01:54:57Z","title_canon_sha256":"7e9e95f26deeee3b979c881687835ddda970a33dd58900e1b0126432704e0e06"},"schema_version":"1.0","source":{"id":"1904.03336","kind":"arxiv","version":2}},"canonical_sha256":"fed719c197d478bcdedf25ab28acd1a069380947ed99254486ec0722f36d5c87","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fed719c197d478bcdedf25ab28acd1a069380947ed99254486ec0722f36d5c87","first_computed_at":"2026-07-05T00:04:07.999504Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:04:07.999504Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LYoAR2BFEGaPInqVFbXSG1ei6IDR+9d1MjjroWmqmNZiIDrodFCno5MU/wGlwG8c2UW1p6vmZidCjfcb3UCDBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:04:07.999940Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.03336","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c5131c7d5ab67cf641e3d80d605257f71d4877353dc320f9488884af1a9dcfec","sha256:45ef3e1dd70b00ddbecc344b5e223152dc81de1bdb98d378b9011b8d27315cb4"],"state_sha256":"05522eee054aef25f60a13391b820b289eee9f5ca4b21f08b35735d0ce81f824"}