{"id":"https://openalex.org/W2890923151","doi":"https://doi.org/10.1504/ijkedm.2018.10016103","title":"Clustering News Articles using Efficient Similarity Measure and N-grams","display_name":"Clustering News Articles using Efficient Similarity Measure and N-grams","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890923151","doi":"https://doi.org/10.1504/ijkedm.2018.10016103","mag":"2890923151"},"language":"en","primary_location":{"id":"doi:10.1504/ijkedm.2018.10016103","doi":"https://doi.org/10.1504/ijkedm.2018.10016103","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijkedm.2018.10016103","pdf_url":null,"source":{"id":"https://openalex.org/S69146867","display_name":"International Journal of Knowledge Engineering and Data Mining","issn_l":"1755-2087","issn":["1755-2087","1755-2095"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge Engineering and Data Mining","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5057941088","display_name":"Rajesh Prasad","orcid":"https://orcid.org/0000-0002-3456-6980","observed_orcids":["https://orcid.org/0000-0002-3456-6980"]},"institutions":[{"id":"https://openalex.org/I65734018","display_name":"American University of Nigeria","ror":"https://ror.org/02kv8bx48","country_code":"NG","type":"education","lineage":["https://openalex.org/I65734018"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Rajesh Prasad","raw_affiliation_strings":["School of IT and Computing, American University of Nigeria, Yola, Adamawa State, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of IT and Computing, American University of Nigeria, Yola, Adamawa State, Nigeria","institution_ids":["https://openalex.org/I65734018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027681806","display_name":"Desmond Bala Bisandu","orcid":"https://orcid.org/0000-0002-5723-8429","observed_orcids":["https://orcid.org/0000-0002-5723-8429"]},"institutions":[{"id":"https://openalex.org/I65734018","display_name":"American University of Nigeria","ror":"https://ror.org/02kv8bx48","country_code":"NG","type":"education","lineage":["https://openalex.org/I65734018"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Desmond Bisandu","raw_affiliation_strings":["School of IT and Computing, American University of Nigeria, Yola, Adamawa State, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of IT and Computing, American University of Nigeria, Yola, Adamawa State, Nigeria","institution_ids":["https://openalex.org/I65734018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077537062","display_name":"Musa Muhammad Liman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I65734018","display_name":"American University of Nigeria","ror":"https://ror.org/02kv8bx48","country_code":"NG","type":"education","lineage":["https://openalex.org/I65734018"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Musa Liman","raw_affiliation_strings":["School of IT and Computing, American University of Nigeria, Yola, Adamawa State, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of IT and Computing, American University of Nigeria, Yola, Adamawa State, Nigeria","institution_ids":["https://openalex.org/I65734018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65734018"],"apc_list":null,"apc_paid":null,"fwci":1.1113,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82002027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"5","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9672999978065491,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9672999978065491,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.026799999177455902,"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":0.0019000000320374966,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/document-clustering","display_name":"document clustering","score":0.9890000224113464},{"id":"https://openalex.org/keywords/news-articles","display_name":"news articles","score":0.9660000205039978},{"id":"https://openalex.org/keywords/n-grams","display_name":"n-grams","score":0.9409999847412109},{"id":"https://openalex.org/keywords/text-similarity-measures","display_name":"text similarity measures","score":0.7300000190734863},{"id":"https://openalex.org/keywords/unsupervised-clustering","display_name":"unsupervised clustering","score":0.7490000128746033},{"id":"https://openalex.org/keywords/high-dimensional-text-data","display_name":"high-dimensional text data","score":0.8840000033378601}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8323535323143005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662049531936646},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.7466729283332825},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6258140206336975},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6244044303894043},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.5811763405799866},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5648461580276489},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.544483482837677},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.530586838722229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47665101289749146},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4549432098865509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.398616760969162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11257952451705933},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08440682291984558},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijkedm.2018.10016103","doi":"https://doi.org/10.1504/ijkedm.2018.10016103","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijkedm.2018.10016103","pdf_url":null,"source":{"id":"https://openalex.org/S69146867","display_name":"International Journal of Knowledge Engineering and Data Mining","issn_l":"1755-2087","issn":["1755-2087","1755-2095"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Knowledge Engineering and Data Mining","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4244838831","https://openalex.org/W2016788389","https://openalex.org/W2970261771","https://openalex.org/W2547321641","https://openalex.org/W7099703229","https://openalex.org/W4407410848","https://openalex.org/W140539934","https://openalex.org/W2736553983","https://openalex.org/W2038536413","https://openalex.org/W4362587931"],"abstract_inverted_index":{"The":[0,29,75,126],"rapid":[1],"progress":[2],"of":[3,15,32,69,128],"information":[4,49],"technology":[5],"and":[6,26,37,100,120],"web":[7],"makes":[8],"it":[9,45],"easier":[10],"to":[11,50,114],"store":[12],"huge":[13],"amount":[14],"collected":[16],"textual":[17,33],"information,":[18],"e.g.,":[19],"blogs,":[20],"news":[21],"articles,":[22],"e-mail":[23],"messages,":[24],"reviews":[25],"forum":[27],"postings.":[28],"growing":[30],"size":[31],"dataset":[34],"with":[35,80,122],"high-dimensions":[36],"natural":[38],"language":[39],"pose":[40],"a":[41,93],"big":[42],"challenge":[43],"making":[44],"hard":[46],"for":[47],"such":[48],"be":[51],"categorised":[52],"efficiently.":[53],"Document":[54],"clustering":[55,96,118,135],"is":[56,77],"an":[57,123],"automatic":[58],"unsupervised":[59],"machine":[60],"learning":[61],"technique":[62,97,119,136],"that":[63,132],"aimed":[64],"at":[65],"grouping":[66],"related":[67],"set":[68],"items":[70],"into":[71],"clusters":[72,79],"or":[73],"subsets.":[74],"target":[76],"creating":[78],"high":[81],"internal":[82],"coherence,":[83],"but":[84],"different":[85],"from":[86],"each":[87],"other":[88],"substantially.":[89],"This":[90],"paper":[91],"presents":[92],"new":[94],"document":[95],"using":[98],"N-grams":[99],"efficient":[101],"similarity":[102,108],"measure":[103],"known":[104],"as":[105],"'improved":[106],"sqrt-cosine":[107],"measure'.":[109],"Comprehensive":[110],"experiments":[111,130],"are":[112],"conducted":[113],"evaluate":[115],"our":[116,133],"proposed":[117,134],"compared":[121],"existing":[124,139],"method.":[125],"results":[127],"the":[129,138],"show":[131],"outperforms":[137],"techniques.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2018-09-27T00:00:00"}