{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:CPGRW54SW4WELKDGYL6KZPJERV","short_pith_number":"pith:CPGRW54S","canonical_record":{"source":{"id":"1203.3832","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-17T02:06:41Z","cross_cats_sorted":[],"title_canon_sha256":"3815bf2c44a2b0138bad89e9d1ef9fbd2ba87811e548e89bbacdbc1bb9ec55d8","abstract_canon_sha256":"0e939f8289916e866dc535f0f197343e4d26dc6e0f34aaba635bdf83db62d983"},"schema_version":"1.0"},"canonical_sha256":"13cd1b7792b72c45a866c2fcacbd248d57a6f9d9a90344317652a31bc23d5970","source":{"kind":"arxiv","id":"1203.3832","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.3832","created_at":"2026-05-18T03:59:48Z"},{"alias_kind":"arxiv_version","alias_value":"1203.3832v1","created_at":"2026-05-18T03:59:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.3832","created_at":"2026-05-18T03:59:48Z"},{"alias_kind":"pith_short_12","alias_value":"CPGRW54SW4WE","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_16","alias_value":"CPGRW54SW4WELKDG","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_8","alias_value":"CPGRW54S","created_at":"2026-05-18T12:27:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:CPGRW54SW4WELKDGYL6KZPJERV","target":"record","payload":{"canonical_record":{"source":{"id":"1203.3832","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-17T02:06:41Z","cross_cats_sorted":[],"title_canon_sha256":"3815bf2c44a2b0138bad89e9d1ef9fbd2ba87811e548e89bbacdbc1bb9ec55d8","abstract_canon_sha256":"0e939f8289916e866dc535f0f197343e4d26dc6e0f34aaba635bdf83db62d983"},"schema_version":"1.0"},"canonical_sha256":"13cd1b7792b72c45a866c2fcacbd248d57a6f9d9a90344317652a31bc23d5970","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:59:48.867239Z","signature_b64":"eWG84HKPuKlsZceoM3zj7uoCXzBHjGafFCnUExE04RVDdGnj/Wlg6FA45vHRzd9wso1hXuSESq6RwaMvEsGhDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13cd1b7792b72c45a866c2fcacbd248d57a6f9d9a90344317652a31bc23d5970","last_reissued_at":"2026-05-18T03:59:48.866855Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:59:48.866855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.3832","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:59:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pl1VkTI4wFmLsZ+TsHw5r+sZum2OdpAMB6/rMQaf/pEHcmbaoggIaIB87W6ts/6BEzGC1hYDOHU3k2Wt37SRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T02:43:27.177001Z"},"content_sha256":"dc7fbbb138161f1ca6b42e781e32c220c5c5867358cba2d59f8b0fe06e089269","schema_version":"1.0","event_id":"sha256:dc7fbbb138161f1ca6b42e781e32c220c5c5867358cba2d59f8b0fe06e089269"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:CPGRW54SW4WELKDGYL6KZPJERV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data Mining: A Prediction for Performance Improvement of Engineering Students using Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Saurabh Pal, Surjeet Kumar Yadav","submitted_at":"2012-03-17T02:06:41Z","abstract_excerpt":"Now-a-days the amount of data stored in educational database increasing rapidly. These databases contain hidden information for improvement of students' performance. Educational data mining is used to study the data available in the educational field and bring out the hidden knowledge from it. Classification methods like decision trees, Bayesian network etc can be applied on the educational data for predicting the student's performance in examination. This prediction will help to identify the weak students and help them to score better marks. The C4.5, ID3 and CART decision tree algorithms are"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.3832","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:59:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FSB/UnZBr5uKR/QGYDv29xGoVgSbuYjTWwBJmh6vFxL62Nx5QkvDrRFK4rjNBgFkoRacoS4Biemn551s8ljgCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T02:43:27.177360Z"},"content_sha256":"1cc6687e1f9f0960aed7443c754a94aefe2f7272ab764e955eb76b68c9dd49d9","schema_version":"1.0","event_id":"sha256:1cc6687e1f9f0960aed7443c754a94aefe2f7272ab764e955eb76b68c9dd49d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CPGRW54SW4WELKDGYL6KZPJERV/bundle.json","state_url":"https://pith.science/pith/CPGRW54SW4WELKDGYL6KZPJERV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CPGRW54SW4WELKDGYL6KZPJERV/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-04T02:43:27Z","links":{"resolver":"https://pith.science/pith/CPGRW54SW4WELKDGYL6KZPJERV","bundle":"https://pith.science/pith/CPGRW54SW4WELKDGYL6KZPJERV/bundle.json","state":"https://pith.science/pith/CPGRW54SW4WELKDGYL6KZPJERV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CPGRW54SW4WELKDGYL6KZPJERV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:CPGRW54SW4WELKDGYL6KZPJERV","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":"0e939f8289916e866dc535f0f197343e4d26dc6e0f34aaba635bdf83db62d983","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-17T02:06:41Z","title_canon_sha256":"3815bf2c44a2b0138bad89e9d1ef9fbd2ba87811e548e89bbacdbc1bb9ec55d8"},"schema_version":"1.0","source":{"id":"1203.3832","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.3832","created_at":"2026-05-18T03:59:48Z"},{"alias_kind":"arxiv_version","alias_value":"1203.3832v1","created_at":"2026-05-18T03:59:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.3832","created_at":"2026-05-18T03:59:48Z"},{"alias_kind":"pith_short_12","alias_value":"CPGRW54SW4WE","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_16","alias_value":"CPGRW54SW4WELKDG","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_8","alias_value":"CPGRW54S","created_at":"2026-05-18T12:27:01Z"}],"graph_snapshots":[{"event_id":"sha256:1cc6687e1f9f0960aed7443c754a94aefe2f7272ab764e955eb76b68c9dd49d9","target":"graph","created_at":"2026-05-18T03:59:48Z","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"},"paper":{"abstract_excerpt":"Now-a-days the amount of data stored in educational database increasing rapidly. These databases contain hidden information for improvement of students' performance. Educational data mining is used to study the data available in the educational field and bring out the hidden knowledge from it. Classification methods like decision trees, Bayesian network etc can be applied on the educational data for predicting the student's performance in examination. This prediction will help to identify the weak students and help them to score better marks. The C4.5, ID3 and CART decision tree algorithms are","authors_text":"Saurabh Pal, Surjeet Kumar Yadav","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-17T02:06:41Z","title":"Data Mining: A Prediction for Performance Improvement of Engineering Students using Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.3832","kind":"arxiv","version":1},"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:dc7fbbb138161f1ca6b42e781e32c220c5c5867358cba2d59f8b0fe06e089269","target":"record","created_at":"2026-05-18T03:59:48Z","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":"0e939f8289916e866dc535f0f197343e4d26dc6e0f34aaba635bdf83db62d983","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-03-17T02:06:41Z","title_canon_sha256":"3815bf2c44a2b0138bad89e9d1ef9fbd2ba87811e548e89bbacdbc1bb9ec55d8"},"schema_version":"1.0","source":{"id":"1203.3832","kind":"arxiv","version":1}},"canonical_sha256":"13cd1b7792b72c45a866c2fcacbd248d57a6f9d9a90344317652a31bc23d5970","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13cd1b7792b72c45a866c2fcacbd248d57a6f9d9a90344317652a31bc23d5970","first_computed_at":"2026-05-18T03:59:48.866855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:59:48.866855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eWG84HKPuKlsZceoM3zj7uoCXzBHjGafFCnUExE04RVDdGnj/Wlg6FA45vHRzd9wso1hXuSESq6RwaMvEsGhDw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:59:48.867239Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.3832","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc7fbbb138161f1ca6b42e781e32c220c5c5867358cba2d59f8b0fe06e089269","sha256:1cc6687e1f9f0960aed7443c754a94aefe2f7272ab764e955eb76b68c9dd49d9"],"state_sha256":"64386f0ff92f0f2ed12343c6c9c93a62bc7e3e35058035ba176284975e2ee2d2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uTFq8sBwEeb+n8wrRRQm8uzLs48CBz0FGjI8GjKcHLtZJ9X+PUBkpAPA1t/SvzC2vWx1FBIVHZlPPVFcVDcdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T02:43:27.179284Z","bundle_sha256":"b2ac5568edacbb2f83af65bb9846a87ca1eea9a757327687efcc0ddeb3f0a36e"}}