{"id":"https://openalex.org/W2953363137","doi":"https://doi.org/10.1145/3292500.3330913","title":"Mining Algorithm Roadmap in Scientific Publications","display_name":"Mining Algorithm Roadmap in Scientific Publications","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2953363137","doi":"https://doi.org/10.1145/3292500.3330913","mag":"2953363137"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330913","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330913","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330913","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330913","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018930567","display_name":"Hanwen Zha","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hanwen Zha","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103103242","display_name":"Wenhu Chen","orcid":"https://orcid.org/0000-0002-8609-7821"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhu Chen","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049950372","display_name":"Keqian Li","orcid":"https://orcid.org/0009-0002-5956-3038"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keqian Li","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047709762","display_name":"Xifeng Yan","orcid":"https://orcid.org/0009-0000-6508-4792"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xifeng Yan","raw_affiliation_strings":["University of California, Santa Barbara, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018930567"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":1.7341,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88654738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1083","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7716301679611206},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6774166822433472},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.628670334815979},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6110281944274902},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5972108244895935},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.5933115482330322},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5766046047210693},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4795472323894501},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4644012749195099},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41561323404312134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36158135533332825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3410683870315552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0897756814956665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716301679611206},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6774166822433472},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.628670334815979},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6110281944274902},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5972108244895935},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.5933115482330322},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5766046047210693},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4795472323894501},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4644012749195099},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41561323404312134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36158135533332825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3410683870315552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0897756814956665},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3330913","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330913","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330913","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3292500.3330913","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330913","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330913","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6383328962","display_name":"III: Small: Knowledge Graph Query Processing and Benchmarking","funder_award_id":"1528175","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953363137.pdf","grobid_xml":"https://content.openalex.org/works/W2953363137.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W174427690","https://openalex.org/W1512387364","https://openalex.org/W1581986412","https://openalex.org/W1604644367","https://openalex.org/W1837343293","https://openalex.org/W1970043789","https://openalex.org/W2022166150","https://openalex.org/W2064675550","https://openalex.org/W2068737686","https://openalex.org/W2094728533","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2104583100","https://openalex.org/W2107598941","https://openalex.org/W2132827946","https://openalex.org/W2138605095","https://openalex.org/W2142086811","https://openalex.org/W2153579005","https://openalex.org/W2194775991","https://openalex.org/W2250521169","https://openalex.org/W2251135946","https://openalex.org/W2301623411","https://openalex.org/W2407338347","https://openalex.org/W2465611764","https://openalex.org/W2515462165","https://openalex.org/W2539469848","https://openalex.org/W2577020101","https://openalex.org/W2593560537","https://openalex.org/W2618221201","https://openalex.org/W2618354619","https://openalex.org/W2626778328","https://openalex.org/W2747329762","https://openalex.org/W2883559670","https://openalex.org/W2890484448","https://openalex.org/W2899771611","https://openalex.org/W2962724755","https://openalex.org/W2962902328","https://openalex.org/W2962903510","https://openalex.org/W2963020213","https://openalex.org/W2963021258","https://openalex.org/W2963341956","https://openalex.org/W2963684088","https://openalex.org/W2964121744","https://openalex.org/W2964193968","https://openalex.org/W4253001967"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2045408812","https://openalex.org/W2888033806"],"abstract_inverted_index":{"The":[0,8,76],"number":[1,21],"of":[2,22,32,93,110],"scientific":[3,14,62],"publications":[4],"is":[5,97],"ever":[6],"increasing.":[7],"long":[9],"time":[10,170],"to":[11,72,104,135,155,173],"digest":[12],"a":[13,29,49,54,67,98,116,144],"paper":[15],"posts":[16],"great":[17],"challenges":[18],"on":[19,191],"the":[20,74,87,91,94,106,175,188,192],"papers":[23],"people":[24],"can":[25],"read,":[26],"which":[27],"impedes":[28],"quick":[30],"grasp":[31],"major":[33],"activities":[34],"in":[35,61],"new":[36,55,68,145],"research":[37,89,117],"areas":[38],"especially":[39],"for":[40,100,126,151,165],"intelligence":[41],"analysts":[42,101],"and":[43,64,85,90,102,108,114,128,139,171],"novice":[44],"researchers.":[45],"To":[46],"accelerate":[47],"such":[48],"process,":[50],"we":[51,142,162],"first":[52,120],"define":[53],"problem":[56],"called":[57,147],"mining":[58],"algorithm":[59,77,167,176,183],"roadmap":[60,78],"publications,":[63],"then":[65,129],"propose":[66,121,143],"weakly":[69],"supervised":[70],"method":[71,146],"build":[73],"roadmap.":[75,177],"describes":[79],"evolutionary":[80],"relation":[81],"between":[82],"different":[83],"algorithms,":[84],"sketches":[86],"undergoing":[88],"dynamics":[92],"area.":[95],"It":[96],"tool":[99],"researchers":[103],"locate":[105],"successors":[107],"families":[109],"algorithms":[111,127,158],"when":[112],"analyzing":[113],"surveying":[115],"field.":[118],"We":[119],"abbreviated":[122],"words":[123],"as":[124,132],"candidates":[125,138],"use":[130],"tables":[131],"weak":[133],"supervision":[134],"extract":[136,156],"these":[137],"labels.":[140],"Next":[141],"Cross-sentence":[148],"Attention":[149],"NeTwork":[150],"cOmparative":[152],"Relation":[153],"(CANTOR)":[154],"comparative":[157],"from":[159],"text.":[160],"Finally,":[161],"derive":[163],"order":[164],"individual":[166],"pairs":[168],"with":[169],"frequency":[172],"construct":[174],"Through":[178],"comprehensive":[179],"experiments,":[180],"our":[181],"proposed":[182,193],"shows":[184],"its":[185],"superiority":[186],"over":[187],"baseline":[189],"methods":[190],"task.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
