{"id":"https://openalex.org/W2741769313","doi":"https://doi.org/10.1007/978-3-319-63564-4_3","title":"Event2vec: Learning Representations of Events on Temporal Sequences","display_name":"Event2vec: Learning Representations of Events on Temporal Sequences","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741769313","doi":"https://doi.org/10.1007/978-3-319-63564-4_3","mag":"2741769313"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-63564-4_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63564-4_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080648149","display_name":"Shenda Hong","orcid":"https://orcid.org/0000-0001-7521-5127"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shenda Hong","raw_affiliation_strings":["Key Laboratory of Machine Perception, Ministry of Education, Beijing, China","School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wu","raw_affiliation_strings":["Key Laboratory of Machine Perception, Ministry of Education, Beijing, China","School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455569","display_name":"Hongyan Li","orcid":"https://orcid.org/0000-0001-7174-2851"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Li","raw_affiliation_strings":["Key Laboratory of Machine Perception, Ministry of Education, Beijing, China","School of EECS, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of EECS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091338474","display_name":"Zhengwu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengwu Wu","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, Beijing Institute of Control and Electronic Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, Beijing Institute of Control and Electronic Technology, Beijing, China","institution_ids":["https://openalex.org/I202334528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080648149"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I20231570"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.0143,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95213755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.8487004041671753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8280388712882996},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6837047338485718},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6167635917663574},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5162020325660706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49975085258483887},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4702650010585785},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4671679735183716},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46278032660484314},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4418787956237793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43457168340682983},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42511409521102905},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4148092567920685},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3156708776950836},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11887553334236145},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.08818626403808594}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.8487004041671753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8280388712882996},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6837047338485718},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6167635917663574},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5162020325660706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49975085258483887},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4702650010585785},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4671679735183716},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46278032660484314},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4418787956237793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43457168340682983},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42511409521102905},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4148092567920685},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3156708776950836},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11887553334236145},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.08818626403808594},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-63564-4_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63564-4_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1584003909","https://openalex.org/W1983798833","https://openalex.org/W1989037929","https://openalex.org/W2005464046","https://openalex.org/W2027879733","https://openalex.org/W2030863907","https://openalex.org/W2033403400","https://openalex.org/W2065426594","https://openalex.org/W2097098223","https://openalex.org/W2112971308","https://openalex.org/W2119343774","https://openalex.org/W2147694185","https://openalex.org/W2151068025","https://openalex.org/W2155358700","https://openalex.org/W2158454296","https://openalex.org/W2162800060","https://openalex.org/W2164000012","https://openalex.org/W2184719144","https://openalex.org/W2284851926","https://openalex.org/W2399473281","https://openalex.org/W2531858655","https://openalex.org/W2950133940","https://openalex.org/W2950577311","https://openalex.org/W3105265400","https://openalex.org/W6600031136","https://openalex.org/W6600258949","https://openalex.org/W6600263792","https://openalex.org/W6601760687","https://openalex.org/W6605551291","https://openalex.org/W6607982746"],"related_works":["https://openalex.org/W2579899204","https://openalex.org/W2574209248","https://openalex.org/W2884490506","https://openalex.org/W4287824979","https://openalex.org/W2483088531","https://openalex.org/W4401920050","https://openalex.org/W2294686723","https://openalex.org/W2601871130","https://openalex.org/W2950359320","https://openalex.org/W4390493883"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
