{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:ROH4C7JQ6LNTBILLOI6RQURVXB","short_pith_number":"pith:ROH4C7JQ","canonical_record":{"source":{"id":"1707.04067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-13T11:14:54Z","cross_cats_sorted":[],"title_canon_sha256":"9191383948e55f9553cea79288d201f15aff592ea4dcf48f52dd2c698c04c171","abstract_canon_sha256":"0a96aa52866c5135f29b8291fa78ba547d1c5a0357f1f4b0f0fc53e337a488bd"},"schema_version":"1.0"},"canonical_sha256":"8b8fc17d30f2db30a16b723d185235b85edfa3045ac2ccbc74d87c72c118be9b","source":{"kind":"arxiv","id":"1707.04067","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.04067","created_at":"2026-05-18T00:40:22Z"},{"alias_kind":"arxiv_version","alias_value":"1707.04067v1","created_at":"2026-05-18T00:40:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.04067","created_at":"2026-05-18T00:40:22Z"},{"alias_kind":"pith_short_12","alias_value":"ROH4C7JQ6LNT","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"ROH4C7JQ6LNTBILL","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"ROH4C7JQ","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:ROH4C7JQ6LNTBILLOI6RQURVXB","target":"record","payload":{"canonical_record":{"source":{"id":"1707.04067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-13T11:14:54Z","cross_cats_sorted":[],"title_canon_sha256":"9191383948e55f9553cea79288d201f15aff592ea4dcf48f52dd2c698c04c171","abstract_canon_sha256":"0a96aa52866c5135f29b8291fa78ba547d1c5a0357f1f4b0f0fc53e337a488bd"},"schema_version":"1.0"},"canonical_sha256":"8b8fc17d30f2db30a16b723d185235b85edfa3045ac2ccbc74d87c72c118be9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:22.751717Z","signature_b64":"PG6zbkSz8GF/UDzlSgTaHbv563+fGpITXAVL7uwvCQIBh+1l6KLMc5TcrC2yifmxY3IRJ1abgvNOVIngGgrWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b8fc17d30f2db30a16b723d185235b85edfa3045ac2ccbc74d87c72c118be9b","last_reissued_at":"2026-05-18T00:40:22.751219Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:22.751219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.04067","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":"2026-05-18T00:40:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nFnLVhXs+IF/dp4Zf4qAUFUVHww0XSJ8vLdJORAXYQDsPmM7VKdk4H+7prf+kglD1qU4N9K+xqILYdKSD4lSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T03:13:41.713373Z"},"content_sha256":"544f31270b2079f701e7d967e62e7e9f7ff5c3565e267e23109c42b0648d6d01","schema_version":"1.0","event_id":"sha256:544f31270b2079f701e7d967e62e7e9f7ff5c3565e267e23109c42b0648d6d01"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:ROH4C7JQ6LNTBILLOI6RQURVXB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automation of Feature Engineering for IoT Analytics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Arpan Pal, Snehasis Banerjee, Tanushyam Chattopadhyay, Utpal Garain","submitted_at":"2017-07-13T11:14:54Z","abstract_excerpt":"This paper presents an approach for automation of interpretable feature selection for Internet Of Things Analytics (IoTA) using machine learning (ML) techniques. Authors have conducted a survey over different people involved in different IoTA based application development tasks. The survey reveals that feature selection is the most time consuming and niche skill demanding part of the entire workflow. This paper shows how feature selection is successfully automated without sacrificing the decision making accuracy and thereby reducing the project completion time and cost of hiring expensive reso"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.04067","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":"2026-05-18T00:40:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SuV4JqtsrKdJfhxe/hSMBR7rte03xs7BhFgV5LstcwyzkRJv+kRWWMoqTcpiJBEvnhXdVoCk9NASW68ByQ+jBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T03:13:41.714048Z"},"content_sha256":"0cdaddc0ff41ed784c3ca0d09b2bd23bf85c45ff91d4ece7931f8d90739c69c7","schema_version":"1.0","event_id":"sha256:0cdaddc0ff41ed784c3ca0d09b2bd23bf85c45ff91d4ece7931f8d90739c69c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ROH4C7JQ6LNTBILLOI6RQURVXB/bundle.json","state_url":"https://pith.science/pith/ROH4C7JQ6LNTBILLOI6RQURVXB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ROH4C7JQ6LNTBILLOI6RQURVXB/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":"2026-06-11T03:13:41Z","links":{"resolver":"https://pith.science/pith/ROH4C7JQ6LNTBILLOI6RQURVXB","bundle":"https://pith.science/pith/ROH4C7JQ6LNTBILLOI6RQURVXB/bundle.json","state":"https://pith.science/pith/ROH4C7JQ6LNTBILLOI6RQURVXB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ROH4C7JQ6LNTBILLOI6RQURVXB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ROH4C7JQ6LNTBILLOI6RQURVXB","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":"0a96aa52866c5135f29b8291fa78ba547d1c5a0357f1f4b0f0fc53e337a488bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-13T11:14:54Z","title_canon_sha256":"9191383948e55f9553cea79288d201f15aff592ea4dcf48f52dd2c698c04c171"},"schema_version":"1.0","source":{"id":"1707.04067","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.04067","created_at":"2026-05-18T00:40:22Z"},{"alias_kind":"arxiv_version","alias_value":"1707.04067v1","created_at":"2026-05-18T00:40:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.04067","created_at":"2026-05-18T00:40:22Z"},{"alias_kind":"pith_short_12","alias_value":"ROH4C7JQ6LNT","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"ROH4C7JQ6LNTBILL","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"ROH4C7JQ","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:0cdaddc0ff41ed784c3ca0d09b2bd23bf85c45ff91d4ece7931f8d90739c69c7","target":"graph","created_at":"2026-05-18T00:40:22Z","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":"This paper presents an approach for automation of interpretable feature selection for Internet Of Things Analytics (IoTA) using machine learning (ML) techniques. Authors have conducted a survey over different people involved in different IoTA based application development tasks. The survey reveals that feature selection is the most time consuming and niche skill demanding part of the entire workflow. This paper shows how feature selection is successfully automated without sacrificing the decision making accuracy and thereby reducing the project completion time and cost of hiring expensive reso","authors_text":"Arpan Pal, Snehasis Banerjee, Tanushyam Chattopadhyay, Utpal Garain","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-13T11:14:54Z","title":"Automation of Feature Engineering for IoT Analytics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.04067","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":"sha256:544f31270b2079f701e7d967e62e7e9f7ff5c3565e267e23109c42b0648d6d01","target":"record","created_at":"2026-05-18T00:40:22Z","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":"0a96aa52866c5135f29b8291fa78ba547d1c5a0357f1f4b0f0fc53e337a488bd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-07-13T11:14:54Z","title_canon_sha256":"9191383948e55f9553cea79288d201f15aff592ea4dcf48f52dd2c698c04c171"},"schema_version":"1.0","source":{"id":"1707.04067","kind":"arxiv","version":1}},"canonical_sha256":"8b8fc17d30f2db30a16b723d185235b85edfa3045ac2ccbc74d87c72c118be9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b8fc17d30f2db30a16b723d185235b85edfa3045ac2ccbc74d87c72c118be9b","first_computed_at":"2026-05-18T00:40:22.751219Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:22.751219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PG6zbkSz8GF/UDzlSgTaHbv563+fGpITXAVL7uwvCQIBh+1l6KLMc5TcrC2yifmxY3IRJ1abgvNOVIngGgrWCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:22.751717Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.04067","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:544f31270b2079f701e7d967e62e7e9f7ff5c3565e267e23109c42b0648d6d01","sha256:0cdaddc0ff41ed784c3ca0d09b2bd23bf85c45ff91d4ece7931f8d90739c69c7"],"state_sha256":"1dd7b92da365eb6220f7a6864f202fb0ddf79b60465a29881e1571494bb97a6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ugRGHlGpKSl4U7M79xW7CeGM1BvvyXlDKzjYvNM8Xg3BjubTb6U94NnXpanUE1Q0pCYxa8uCWofqyXPkvhJBBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T03:13:41.717881Z","bundle_sha256":"1fc246532f65939a001f7d7054ea8dd0a392ef8d65aa222a74310258edcf9bca"}}