{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:GUQZGIQH3WUNXQOR6XPJ3573A7","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":"488d068a7f433046aa7d82f89cb068ddfeee0526e0c9c5823b48f5119cb03f83","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-12T07:59:55Z","title_canon_sha256":"43d76bed99c728a457cbe210e4a7e4e0c44285fd1efad2e0e92b3dbb62f99dd9"},"schema_version":"1.0","source":{"id":"1604.03278","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.03278","created_at":"2026-05-18T01:17:14Z"},{"alias_kind":"arxiv_version","alias_value":"1604.03278v1","created_at":"2026-05-18T01:17:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.03278","created_at":"2026-05-18T01:17:14Z"},{"alias_kind":"pith_short_12","alias_value":"GUQZGIQH3WUN","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"GUQZGIQH3WUNXQOR","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"GUQZGIQH","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:2dd880b72a11439b603939cb7de0e0d447f78b3368b2b89e7b4708ccae935c04","target":"graph","created_at":"2026-05-18T01:17:14Z","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":"Decision tree classifiers are a widely used tool in data stream mining. The use of confidence intervals to estimate the gain associated with each split leads to very effective methods, like the popular Hoeffding tree algorithm. From a statistical viewpoint, the analysis of decision tree classifiers in a streaming setting requires knowing when enough new information has been collected to justify splitting a leaf. Although some of the issues in the statistical analysis of Hoeffding trees have been already clarified, a general and rigorous study of confidence intervals for splitting criteria is m","authors_text":"Rocco De Rosa","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-12T07:59:55Z","title":"Confidence Decision Trees via Online and Active Learning for Streaming (BIG) Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.03278","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":"sha256:4629a3b2c01f5f8e91ce7186cecb0373f01e3b91a378e5d9370ada1d28b5860c","target":"record","created_at":"2026-05-18T01:17:14Z","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":"488d068a7f433046aa7d82f89cb068ddfeee0526e0c9c5823b48f5119cb03f83","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-12T07:59:55Z","title_canon_sha256":"43d76bed99c728a457cbe210e4a7e4e0c44285fd1efad2e0e92b3dbb62f99dd9"},"schema_version":"1.0","source":{"id":"1604.03278","kind":"arxiv","version":1}},"canonical_sha256":"3521932207dda8dbc1d1f5de9df7fb07f3033e942ac77c557878f158ab5db5df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3521932207dda8dbc1d1f5de9df7fb07f3033e942ac77c557878f158ab5db5df","first_computed_at":"2026-05-18T01:17:14.011140Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:14.011140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LjTHoGrVdGlWdgbBiXwlK9SblkHr5HCpjCA4bWFzzSCJUCZoINFNZjZ5b/8w73yArmtHRF5IuepyAe87Uir3Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:14.011763Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.03278","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4629a3b2c01f5f8e91ce7186cecb0373f01e3b91a378e5d9370ada1d28b5860c","sha256:2dd880b72a11439b603939cb7de0e0d447f78b3368b2b89e7b4708ccae935c04"],"state_sha256":"b737a0f5409c1fd6a2cda34da533b6f7633ec2ffc1912d0d9ebbfe02ad139ba2"}