{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:2ZYXMUO3S6PULTI3Z2M33TEJXU","short_pith_number":"pith:2ZYXMUO3","canonical_record":{"source":{"id":"1804.01379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-03-19T04:37:33Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"f5fe1b84b17117da4741347008d3532dd54e676bf9856838c8cefacb965368c4","abstract_canon_sha256":"58ac750810d80ea712bad1622e7096f974346e848fce031d77b72f2f856bf4e9"},"schema_version":"1.0"},"canonical_sha256":"d6717651db979f45cd1bce99bdcc89bd3ca4ee278f59e6afd536e9b48448f8f9","source":{"kind":"arxiv","id":"1804.01379","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.01379","created_at":"2026-05-18T00:19:15Z"},{"alias_kind":"arxiv_version","alias_value":"1804.01379v1","created_at":"2026-05-18T00:19:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.01379","created_at":"2026-05-18T00:19:15Z"},{"alias_kind":"pith_short_12","alias_value":"2ZYXMUO3S6PU","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2ZYXMUO3S6PULTI3","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2ZYXMUO3","created_at":"2026-05-18T12:32:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:2ZYXMUO3S6PULTI3Z2M33TEJXU","target":"record","payload":{"canonical_record":{"source":{"id":"1804.01379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-03-19T04:37:33Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"f5fe1b84b17117da4741347008d3532dd54e676bf9856838c8cefacb965368c4","abstract_canon_sha256":"58ac750810d80ea712bad1622e7096f974346e848fce031d77b72f2f856bf4e9"},"schema_version":"1.0"},"canonical_sha256":"d6717651db979f45cd1bce99bdcc89bd3ca4ee278f59e6afd536e9b48448f8f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:15.247173Z","signature_b64":"m1Sz+COP8Z292n7DwDFDe32z5UO28qiZwtC9aQExa/IDR5zhfZALrcG4GfDHGYZNyUSovcXPgBwyF7tHpR9fDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6717651db979f45cd1bce99bdcc89bd3ca4ee278f59e6afd536e9b48448f8f9","last_reissued_at":"2026-05-18T00:19:15.246458Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:15.246458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.01379","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":"2026-05-18T00:19:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o8daE9qEiNt/fBR6wlK0wS4HEGArvTUaTrKun9mOiKagPw3x3pkTKrHqd5fs5VeTYdiI0dOYIVkVL2CbxYe6Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:24:34.682912Z"},"content_sha256":"fe5d238163188743dfaff832a6a0e8a280a1f2257c94b65b6a552662d80f331a","schema_version":"1.0","event_id":"sha256:fe5d238163188743dfaff832a6a0e8a280a1f2257c94b65b6a552662d80f331a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:2ZYXMUO3S6PULTI3Z2M33TEJXU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mining User Behavioral Rules from Smartphone Data through Association Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.DB","authors_text":"Flora D. Salim, Iqbal H. Sarker","submitted_at":"2018-03-19T04:37:33Z","abstract_excerpt":"The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contextual information and mobile phone usage records through the device logs. This paper formulates the problem of mining behavioral association rules of individual mobile phone users utilizing their smartphone data. Association rule learning is the most popular technique to discover rules utilizing large datasets. However, it is well-known that a large proportion of association rules generated are redundant. This redundant production makes not only the rule-set unneces"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.01379","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":"2026-05-18T00:19:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kUnQshW2j1TQhtuXJOXccWIQ27W+hClGIoA1ocWXNa3rb1TiaGHRR1tJHt3QGS6SOLkmYgtwv1Jp5lRnHYXUCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:24:34.683565Z"},"content_sha256":"3377152d0f9b8177d027dba63f8b12d792113f8cc304f3f2d2de9be1c9d1fcca","schema_version":"1.0","event_id":"sha256:3377152d0f9b8177d027dba63f8b12d792113f8cc304f3f2d2de9be1c9d1fcca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2ZYXMUO3S6PULTI3Z2M33TEJXU/bundle.json","state_url":"https://pith.science/pith/2ZYXMUO3S6PULTI3Z2M33TEJXU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2ZYXMUO3S6PULTI3Z2M33TEJXU/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":"2026-06-09T06:24:34Z","links":{"resolver":"https://pith.science/pith/2ZYXMUO3S6PULTI3Z2M33TEJXU","bundle":"https://pith.science/pith/2ZYXMUO3S6PULTI3Z2M33TEJXU/bundle.json","state":"https://pith.science/pith/2ZYXMUO3S6PULTI3Z2M33TEJXU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2ZYXMUO3S6PULTI3Z2M33TEJXU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:2ZYXMUO3S6PULTI3Z2M33TEJXU","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":"58ac750810d80ea712bad1622e7096f974346e848fce031d77b72f2f856bf4e9","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-03-19T04:37:33Z","title_canon_sha256":"f5fe1b84b17117da4741347008d3532dd54e676bf9856838c8cefacb965368c4"},"schema_version":"1.0","source":{"id":"1804.01379","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.01379","created_at":"2026-05-18T00:19:15Z"},{"alias_kind":"arxiv_version","alias_value":"1804.01379v1","created_at":"2026-05-18T00:19:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.01379","created_at":"2026-05-18T00:19:15Z"},{"alias_kind":"pith_short_12","alias_value":"2ZYXMUO3S6PU","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2ZYXMUO3S6PULTI3","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2ZYXMUO3","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:3377152d0f9b8177d027dba63f8b12d792113f8cc304f3f2d2de9be1c9d1fcca","target":"graph","created_at":"2026-05-18T00:19:15Z","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":"The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contextual information and mobile phone usage records through the device logs. This paper formulates the problem of mining behavioral association rules of individual mobile phone users utilizing their smartphone data. Association rule learning is the most popular technique to discover rules utilizing large datasets. However, it is well-known that a large proportion of association rules generated are redundant. This redundant production makes not only the rule-set unneces","authors_text":"Flora D. Salim, Iqbal H. Sarker","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-03-19T04:37:33Z","title":"Mining User Behavioral Rules from Smartphone Data through Association Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.01379","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:fe5d238163188743dfaff832a6a0e8a280a1f2257c94b65b6a552662d80f331a","target":"record","created_at":"2026-05-18T00:19:15Z","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":"58ac750810d80ea712bad1622e7096f974346e848fce031d77b72f2f856bf4e9","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2018-03-19T04:37:33Z","title_canon_sha256":"f5fe1b84b17117da4741347008d3532dd54e676bf9856838c8cefacb965368c4"},"schema_version":"1.0","source":{"id":"1804.01379","kind":"arxiv","version":1}},"canonical_sha256":"d6717651db979f45cd1bce99bdcc89bd3ca4ee278f59e6afd536e9b48448f8f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6717651db979f45cd1bce99bdcc89bd3ca4ee278f59e6afd536e9b48448f8f9","first_computed_at":"2026-05-18T00:19:15.246458Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:15.246458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m1Sz+COP8Z292n7DwDFDe32z5UO28qiZwtC9aQExa/IDR5zhfZALrcG4GfDHGYZNyUSovcXPgBwyF7tHpR9fDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:15.247173Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.01379","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fe5d238163188743dfaff832a6a0e8a280a1f2257c94b65b6a552662d80f331a","sha256:3377152d0f9b8177d027dba63f8b12d792113f8cc304f3f2d2de9be1c9d1fcca"],"state_sha256":"94b3dfcf9fcca941ca3c8d652c6ccc25cb560db29dfa9eca709dfc93a02a9f31"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3isnNGJmiBrYBlUHhGNjNJLMwgmdvoVIRfVs9uCtuSsWVu/BlHYpAkQUM/iJZk8yQ0MIKivi0QUGAA/PFgoCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T06:24:34.687163Z","bundle_sha256":"a3ad3037d9a9bbb5f0e32c63983362a3f75eb5ddd1f8dac31880cd1cdcda9eb2"}}