{"id":"https://openalex.org/W2145930231","doi":"https://doi.org/10.1109/icmlc.2011.6016664","title":"Hot topic extraction using time window","display_name":"Hot topic extraction using time window","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2145930231","doi":"https://doi.org/10.1109/icmlc.2011.6016664","mag":"2145930231"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"article","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/A5053794277","display_name":"Huifang Ma","orcid":"https://orcid.org/0000-0002-5104-8982"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui-Fang Ma","raw_affiliation_strings":["Department of Computer Sciences, College of information Sciences, Northwest Normal University, Lanzhou, Gansu, China","Department of Computer Sciences, College of information Sciences, Northwest Normal University, Lanzhou Gansu 730070, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, College of information Sciences, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Department of Computer Sciences, College of information Sciences, Northwest Normal University, Lanzhou Gansu 730070, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053794277"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73908509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"56","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9945999979972839,"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/window","display_name":"Window (computing)","score":0.7332696318626404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7042779326438904},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6377065777778625},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5303265452384949},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.49169641733169556},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4271591603755951},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.42378076910972595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38509663939476013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3554267883300781},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11963081359863281}],"concepts":[{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.7332696318626404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042779326438904},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6377065777778625},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5303265452384949},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.49169641733169556},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4271591603755951},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.42378076910972595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38509663939476013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3554267883300781},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11963081359863281},{"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2011.6016664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320312274","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908"},{"id":"https://openalex.org/F4320322439","display_name":"Northwest University","ror":"https://ror.org/00z3td547"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1521478692","https://openalex.org/W1866975135","https://openalex.org/W1974339500","https://openalex.org/W1978394996","https://openalex.org/W2026302857","https://openalex.org/W2098162425","https://openalex.org/W2134866961","https://openalex.org/W2156367805","https://openalex.org/W2613214602","https://openalex.org/W6639219308","https://openalex.org/W6645014053"],"related_works":["https://openalex.org/W2390901981","https://openalex.org/W3014558862","https://openalex.org/W1820289435","https://openalex.org/W4400976415","https://openalex.org/W2770255720","https://openalex.org/W1927135183","https://openalex.org/W2890436937","https://openalex.org/W1596300871","https://openalex.org/W3090190000","https://openalex.org/W1921971915"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"time":[5,47,61],"window":[6,62],"based":[7,53],"hot":[8],"topic":[9,24,87],"extraction":[10,88],"model":[11,16,83],"for":[12,55,65,89],"news":[13,66,90],"stream.":[14],"The":[15],"considers":[17],"both":[18],"pervasiveness":[19],"and":[20,36,60],"burst":[21,37,56],"feature":[22],"of":[23],"terms.":[25,77],"Pervasiveness":[26],"is":[27,38,58,63,71,84],"evaluated":[28],"by":[29,40],"terms'":[30,41],"occurrences":[31],"reported":[32],"from":[33,45],"different":[34,46],"channels":[35],"assessed":[39],"abnormal":[42],"occurrence":[43],"frequencies":[44],"intervals.":[48],"An":[49],"energy":[50],"ratio":[51],"threshold":[52],"approach":[54],"detection":[57],"adopted":[59],"introduced":[64],"text":[67],"stream":[68],"analysis.":[69],"TF-PDF":[70],"then":[72],"combined":[73],"to":[74],"weigh":[75],"the":[76],"Experiment":[78],"results":[79],"demonstrate":[80],"that":[81],"our":[82],"effective":[85],"in":[86],"texts.":[91]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
