{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:OOZRAJJ6S2WAII66P3FIVBAUVA","short_pith_number":"pith:OOZRAJJ6","schema_version":"1.0","canonical_sha256":"73b310253e96ac0423de7eca8a8414a8347f38b74793532761b8c05238c15ed6","source":{"kind":"arxiv","id":"1712.04301","version":2},"attestation_state":"computed","paper":{"title":"Deep Learning for IoT Big Data and Streaming Analytics: A Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB","cs.LG"],"primary_cat":"cs.NI","authors_text":"Ala Al-Fuqaha, Mehdi Mohammadi, Mohsen Guizani, Sameh Sorour","submitted_at":"2017-12-09T06:13:43Z","abstract_excerpt":"In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications. Based on the nature of the application, these devices will result in big or fast/real-time data streams. Applying analytics over such data streams to discover new information, predict future insights, and make control decisions is a crucial process that makes IoT a worthy paradigm for businesses and a quality-of-life improving technology. In this paper, we provide a thorough overview on using a class of advanced ma"},"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":"1712.04301","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2017-12-09T06:13:43Z","cross_cats_sorted":["cs.DB","cs.LG"],"title_canon_sha256":"3441b8a0dfb5e0db70d2016f11fd99648eb19e85b624bf399f8d417b5b300c38","abstract_canon_sha256":"cb2fac7b6f375d5e15ed91ad5578934b4a281e3fb01b05d56b848b1e9dad5bf2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:16.040866Z","signature_b64":"Uvau2xic8YCz6uUq+WrJIlkOlkQD4PCevsKlaqsEkB9Ye7HnFBB+noy9feNQXZZC/RgMq6/Sf2Q7ComT1g5kDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73b310253e96ac0423de7eca8a8414a8347f38b74793532761b8c05238c15ed6","last_reissued_at":"2026-05-18T00:14:16.040254Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:16.040254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Learning for IoT Big Data and Streaming Analytics: A Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB","cs.LG"],"primary_cat":"cs.NI","authors_text":"Ala Al-Fuqaha, Mehdi Mohammadi, Mohsen Guizani, Sameh Sorour","submitted_at":"2017-12-09T06:13:43Z","abstract_excerpt":"In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data over time for a wide range of fields and applications. Based on the nature of the application, these devices will result in big or fast/real-time data streams. Applying analytics over such data streams to discover new information, predict future insights, and make control decisions is a crucial process that makes IoT a worthy paradigm for businesses and a quality-of-life improving technology. In this paper, we provide a thorough overview on using a class of advanced ma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.04301","kind":"arxiv","version":2},"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":"1712.04301","created_at":"2026-05-18T00:14:16.040343+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.04301v2","created_at":"2026-05-18T00:14:16.040343+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.04301","created_at":"2026-05-18T00:14:16.040343+00:00"},{"alias_kind":"pith_short_12","alias_value":"OOZRAJJ6S2WA","created_at":"2026-05-18T12:31:34.259226+00:00"},{"alias_kind":"pith_short_16","alias_value":"OOZRAJJ6S2WAII66","created_at":"2026-05-18T12:31:34.259226+00:00"},{"alias_kind":"pith_short_8","alias_value":"OOZRAJJ6","created_at":"2026-05-18T12:31:34.259226+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/OOZRAJJ6S2WAII66P3FIVBAUVA","json":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA.json","graph_json":"https://pith.science/api/pith-number/OOZRAJJ6S2WAII66P3FIVBAUVA/graph.json","events_json":"https://pith.science/api/pith-number/OOZRAJJ6S2WAII66P3FIVBAUVA/events.json","paper":"https://pith.science/paper/OOZRAJJ6"},"agent_actions":{"view_html":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA","download_json":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA.json","view_paper":"https://pith.science/paper/OOZRAJJ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.04301&json=true","fetch_graph":"https://pith.science/api/pith-number/OOZRAJJ6S2WAII66P3FIVBAUVA/graph.json","fetch_events":"https://pith.science/api/pith-number/OOZRAJJ6S2WAII66P3FIVBAUVA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA/action/storage_attestation","attest_author":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA/action/author_attestation","sign_citation":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA/action/citation_signature","submit_replication":"https://pith.science/pith/OOZRAJJ6S2WAII66P3FIVBAUVA/action/replication_record"}},"created_at":"2026-05-18T00:14:16.040343+00:00","updated_at":"2026-05-18T00:14:16.040343+00:00"}