{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:Y45GQROUKW3UFCJ225T62RAVMN","short_pith_number":"pith:Y45GQROU","schema_version":"1.0","canonical_sha256":"c73a6845d455b742893ad767ed4415637358482b3bf78dc65c70f09a5fd61e75","source":{"kind":"arxiv","id":"1504.02018","version":1},"attestation_state":"computed","paper":{"title":"A Data Mining Approach to Predict Prospective Business Sectors for Lending in Retail Banking Using Decision Tree","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Md. Ahsan Habib, Md. Rafiqul Islam","submitted_at":"2015-04-08T16:07:11Z","abstract_excerpt":"A potential objective of every financial organization is to retain existing customers and attain new prospective customers for long-term. The economic behaviour of customer and the nature of the organization are controlled by a prescribed form called Know Your Customer (KYC) in manual banking. Depositor customers in some sectors (business of Jewellery/Gold, Arms, Money exchanger etc) are with high risk; whereas in some sectors (Transport Operators, Auto-delear, religious) are with medium risk; and in remaining sectors (Retail, Corporate, Service, Farmer etc) belongs to low risk. Presently, cre"},"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":"1504.02018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2015-04-08T16:07:11Z","cross_cats_sorted":[],"title_canon_sha256":"9a2b14a2d78e72d46f66d6dcb2f0c74ee718b9f4eae624b8f52fbdde796fa259","abstract_canon_sha256":"a1d47255387dd2b701a16830b701ced89eb32bd39e4b11289e792a70608c695a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:19:17.435279Z","signature_b64":"/Wyy0R7mbU8Xcqx6pO/VhVNKIaKx2uq+kb5HgUjhysONF1EtScuXAEnS5UhlRKAFNEO8FpBxnsv9TuwfF0T3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c73a6845d455b742893ad767ed4415637358482b3bf78dc65c70f09a5fd61e75","last_reissued_at":"2026-05-18T02:19:17.434681Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:19:17.434681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Data Mining Approach to Predict Prospective Business Sectors for Lending in Retail Banking Using Decision Tree","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Md. Ahsan Habib, Md. Rafiqul Islam","submitted_at":"2015-04-08T16:07:11Z","abstract_excerpt":"A potential objective of every financial organization is to retain existing customers and attain new prospective customers for long-term. The economic behaviour of customer and the nature of the organization are controlled by a prescribed form called Know Your Customer (KYC) in manual banking. Depositor customers in some sectors (business of Jewellery/Gold, Arms, Money exchanger etc) are with high risk; whereas in some sectors (Transport Operators, Auto-delear, religious) are with medium risk; and in remaining sectors (Retail, Corporate, Service, Farmer etc) belongs to low risk. Presently, cre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.02018","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":"1504.02018","created_at":"2026-05-18T02:19:17.434761+00:00"},{"alias_kind":"arxiv_version","alias_value":"1504.02018v1","created_at":"2026-05-18T02:19:17.434761+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.02018","created_at":"2026-05-18T02:19:17.434761+00:00"},{"alias_kind":"pith_short_12","alias_value":"Y45GQROUKW3U","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_16","alias_value":"Y45GQROUKW3UFCJ2","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_8","alias_value":"Y45GQROU","created_at":"2026-05-18T12:29:50.041715+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/Y45GQROUKW3UFCJ225T62RAVMN","json":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN.json","graph_json":"https://pith.science/api/pith-number/Y45GQROUKW3UFCJ225T62RAVMN/graph.json","events_json":"https://pith.science/api/pith-number/Y45GQROUKW3UFCJ225T62RAVMN/events.json","paper":"https://pith.science/paper/Y45GQROU"},"agent_actions":{"view_html":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN","download_json":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN.json","view_paper":"https://pith.science/paper/Y45GQROU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1504.02018&json=true","fetch_graph":"https://pith.science/api/pith-number/Y45GQROUKW3UFCJ225T62RAVMN/graph.json","fetch_events":"https://pith.science/api/pith-number/Y45GQROUKW3UFCJ225T62RAVMN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN/action/storage_attestation","attest_author":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN/action/author_attestation","sign_citation":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN/action/citation_signature","submit_replication":"https://pith.science/pith/Y45GQROUKW3UFCJ225T62RAVMN/action/replication_record"}},"created_at":"2026-05-18T02:19:17.434761+00:00","updated_at":"2026-05-18T02:19:17.434761+00:00"}