{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:ZRHSWFD3FUJCNRVVOVJUBTRC3P","short_pith_number":"pith:ZRHSWFD3","schema_version":"1.0","canonical_sha256":"cc4f2b147b2d1226c6b5755340ce22dbdc4839d6122a2897216dbc3f151a3fba","source":{"kind":"arxiv","id":"1206.6557","version":1},"attestation_state":"computed","paper":{"title":"Mining Event Logs to Support Workflow Resource Allocation","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.SE","authors_text":"Tingyu Liu, Yalong Cheng, Zhonghua Ni","submitted_at":"2012-06-28T03:36:28Z","abstract_excerpt":"Workflow technology is widely used to facilitate the business process in enterprise information systems (EIS), and it has the potential to reduce design time, enhance product quality and decrease product cost. However, significant limitations still exist: as an important task in the context of workflow, many present resource allocation operations are still performed manually, which are time-consuming. This paper presents a data mining approach to address the resource allocation problem (RAP) and improve the productivity of workflow resource management. Specifically, an Apriori-like algorithm i"},"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":"1206.6557","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.SE","submitted_at":"2012-06-28T03:36:28Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"9dac100512d78f59c6da4afd10f3dde0c1b0ba0cd92ece700a70a0666ac4de1c","abstract_canon_sha256":"1db12014cf5d8bf260faedf98bd6130fe6190407d5557f0d6f291101f90287a7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:45:22.731826Z","signature_b64":"9NVLRISzPOhS2C8AaRrQ87ixZm45GCncvT1sq8gQrfZqpI7UipKyc+RMzfhQCzBsX//hBAKyxgHQzA9AzAXMAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc4f2b147b2d1226c6b5755340ce22dbdc4839d6122a2897216dbc3f151a3fba","last_reissued_at":"2026-05-18T03:45:22.731253Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:45:22.731253Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mining Event Logs to Support Workflow Resource Allocation","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.SE","authors_text":"Tingyu Liu, Yalong Cheng, Zhonghua Ni","submitted_at":"2012-06-28T03:36:28Z","abstract_excerpt":"Workflow technology is widely used to facilitate the business process in enterprise information systems (EIS), and it has the potential to reduce design time, enhance product quality and decrease product cost. However, significant limitations still exist: as an important task in the context of workflow, many present resource allocation operations are still performed manually, which are time-consuming. This paper presents a data mining approach to address the resource allocation problem (RAP) and improve the productivity of workflow resource management. Specifically, an Apriori-like algorithm i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.6557","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":"1206.6557","created_at":"2026-05-18T03:45:22.731341+00:00"},{"alias_kind":"arxiv_version","alias_value":"1206.6557v1","created_at":"2026-05-18T03:45:22.731341+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.6557","created_at":"2026-05-18T03:45:22.731341+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZRHSWFD3FUJC","created_at":"2026-05-18T12:27:30.460161+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZRHSWFD3FUJCNRVV","created_at":"2026-05-18T12:27:30.460161+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZRHSWFD3","created_at":"2026-05-18T12:27:30.460161+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/ZRHSWFD3FUJCNRVVOVJUBTRC3P","json":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P.json","graph_json":"https://pith.science/api/pith-number/ZRHSWFD3FUJCNRVVOVJUBTRC3P/graph.json","events_json":"https://pith.science/api/pith-number/ZRHSWFD3FUJCNRVVOVJUBTRC3P/events.json","paper":"https://pith.science/paper/ZRHSWFD3"},"agent_actions":{"view_html":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P","download_json":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P.json","view_paper":"https://pith.science/paper/ZRHSWFD3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1206.6557&json=true","fetch_graph":"https://pith.science/api/pith-number/ZRHSWFD3FUJCNRVVOVJUBTRC3P/graph.json","fetch_events":"https://pith.science/api/pith-number/ZRHSWFD3FUJCNRVVOVJUBTRC3P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P/action/storage_attestation","attest_author":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P/action/author_attestation","sign_citation":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P/action/citation_signature","submit_replication":"https://pith.science/pith/ZRHSWFD3FUJCNRVVOVJUBTRC3P/action/replication_record"}},"created_at":"2026-05-18T03:45:22.731341+00:00","updated_at":"2026-05-18T03:45:22.731341+00:00"}