{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:5AYNQ2ZHPL5TDGXIE3PRXLX74N","short_pith_number":"pith:5AYNQ2ZH","schema_version":"1.0","canonical_sha256":"e830d86b277afb319ae826df1baeffe37d09c249213498a6087293d925735837","source":{"kind":"arxiv","id":"1701.08029","version":1},"attestation_state":"computed","paper":{"title":"Index and Materialized View Selection in Data Warehouses","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"J\\'er\\^ome Darmont (ERIC), Kamel Aouiche (Centre LICEF - T\\'ELUQ)","submitted_at":"2017-01-27T12:30:49Z","abstract_excerpt":"The aim of this article is to present an overview of the major families of state-of-the-art index and materialized view selection methods, and to discuss the issues and future trends in data warehouse performance optimization. We particularly focus on data mining-based heuristics we developed to reduce the selection problem complexity and target the most pertinent candidate indexes and materialized views."},"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":"1701.08029","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-01-27T12:30:49Z","cross_cats_sorted":[],"title_canon_sha256":"d0363c9dd0a4a1483b5d60d1913829b848c59e6fff6f21de3a4e5803afde2c1a","abstract_canon_sha256":"de15198ce8df3579836d929f7770bc44655fcf5e827d4e8ffab3409c2d40643c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:59.071223Z","signature_b64":"vyv9gM3QgpZv7+oQZxdkL7MXfN0Q6duwEjghZUwl3wwUQEvQTAG0i/qaP7HbFJeNVaCUVPl5gqOxsyXTDmbDAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e830d86b277afb319ae826df1baeffe37d09c249213498a6087293d925735837","last_reissued_at":"2026-05-18T00:51:59.070545Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:59.070545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Index and Materialized View Selection in Data Warehouses","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"J\\'er\\^ome Darmont (ERIC), Kamel Aouiche (Centre LICEF - T\\'ELUQ)","submitted_at":"2017-01-27T12:30:49Z","abstract_excerpt":"The aim of this article is to present an overview of the major families of state-of-the-art index and materialized view selection methods, and to discuss the issues and future trends in data warehouse performance optimization. We particularly focus on data mining-based heuristics we developed to reduce the selection problem complexity and target the most pertinent candidate indexes and materialized views."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.08029","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":"1701.08029","created_at":"2026-05-18T00:51:59.070651+00:00"},{"alias_kind":"arxiv_version","alias_value":"1701.08029v1","created_at":"2026-05-18T00:51:59.070651+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.08029","created_at":"2026-05-18T00:51:59.070651+00:00"},{"alias_kind":"pith_short_12","alias_value":"5AYNQ2ZHPL5T","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_16","alias_value":"5AYNQ2ZHPL5TDGXI","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_8","alias_value":"5AYNQ2ZH","created_at":"2026-05-18T12:31:00.734936+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/5AYNQ2ZHPL5TDGXIE3PRXLX74N","json":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N.json","graph_json":"https://pith.science/api/pith-number/5AYNQ2ZHPL5TDGXIE3PRXLX74N/graph.json","events_json":"https://pith.science/api/pith-number/5AYNQ2ZHPL5TDGXIE3PRXLX74N/events.json","paper":"https://pith.science/paper/5AYNQ2ZH"},"agent_actions":{"view_html":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N","download_json":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N.json","view_paper":"https://pith.science/paper/5AYNQ2ZH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1701.08029&json=true","fetch_graph":"https://pith.science/api/pith-number/5AYNQ2ZHPL5TDGXIE3PRXLX74N/graph.json","fetch_events":"https://pith.science/api/pith-number/5AYNQ2ZHPL5TDGXIE3PRXLX74N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N/action/storage_attestation","attest_author":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N/action/author_attestation","sign_citation":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N/action/citation_signature","submit_replication":"https://pith.science/pith/5AYNQ2ZHPL5TDGXIE3PRXLX74N/action/replication_record"}},"created_at":"2026-05-18T00:51:59.070651+00:00","updated_at":"2026-05-18T00:51:59.070651+00:00"}