{"id":"https://openalex.org/W2938076401","doi":"https://doi.org/10.23919/icacs.2019.8689125","title":"The Evolution of Trends and Techniques used for Data Mining","display_name":"The Evolution of Trends and Techniques used for Data Mining","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2938076401","doi":"https://doi.org/10.23919/icacs.2019.8689125","mag":"2938076401"},"language":"en","primary_location":{"id":"doi:10.23919/icacs.2019.8689125","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icacs.2019.8689125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 2nd International Conference on Advancements in Computational Sciences (ICACS)","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/A5087716150","display_name":"Shahzad Nazir","orcid":null},"institutions":[{"id":"https://openalex.org/I505182","display_name":"National Textile University","ror":"https://ror.org/030dak672","country_code":"PK","type":"education","lineage":["https://openalex.org/I505182"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shahzad Nazir","raw_affiliation_strings":["Department of Computer Science, National Textile University, Faisalabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Textile University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I505182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083460237","display_name":"Muhammad Asif","orcid":"https://orcid.org/0000-0003-1839-2527"},"institutions":[{"id":"https://openalex.org/I505182","display_name":"National Textile University","ror":"https://ror.org/030dak672","country_code":"PK","type":"education","lineage":["https://openalex.org/I505182"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Asif","raw_affiliation_strings":["Department of Computer Science, National Textile University, Faisalabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Textile University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I505182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103067960","display_name":"Shahbaz Ahmad","orcid":"https://orcid.org/0000-0003-0148-4521"},"institutions":[{"id":"https://openalex.org/I505182","display_name":"National Textile University","ror":"https://ror.org/030dak672","country_code":"PK","type":"education","lineage":["https://openalex.org/I505182"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shahbaz Ahmad","raw_affiliation_strings":["Department of Computer Science, National Textile University, Faisalabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Textile University, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I505182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I505182"],"apc_list":null,"apc_paid":null,"fwci":0.2824,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64006783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9922000169754028,"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":0.9922000169754028,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9914000034332275,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9872000217437744,"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/computer-science","display_name":"Computer science","score":0.6000100374221802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37877634167671204},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32841670513153076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6000100374221802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37877634167671204},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32841670513153076}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icacs.2019.8689125","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icacs.2019.8689125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 2nd International Conference on Advancements in Computational Sciences (ICACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2008342891","https://openalex.org/W2049812245","https://openalex.org/W2080799101","https://openalex.org/W2096511357","https://openalex.org/W2134218175","https://openalex.org/W2141514476","https://openalex.org/W2166044723","https://openalex.org/W2546420493","https://openalex.org/W2559799713","https://openalex.org/W2593560537","https://openalex.org/W2596561020","https://openalex.org/W2616778901","https://openalex.org/W2619353494","https://openalex.org/W2728951081","https://openalex.org/W2738870350","https://openalex.org/W2889539652","https://openalex.org/W2900830436","https://openalex.org/W2900988372","https://openalex.org/W2903042559","https://openalex.org/W6670620037","https://openalex.org/W6681102251","https://openalex.org/W6738867334"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Data":[0],"mining":[1,35,115,125,130,147,187],"has":[2],"got":[3],"the":[4,7,12,21,24,29,47,56,63,70,77,81,85,100,110,137,143,149,155,167,170,179,182],"festivity":[5],"among":[6],"most":[8],"emerging":[9],"fields":[10],"of":[11,23,65,73,79,99,104,113,139,145,160,169,181],"current":[13],"epoch.":[14],"Extensive":[15],"data":[16,74,114,146,186],"is":[17,26,107,164,189],"being":[18],"generated":[19],"therefore":[20],"need":[22],"hour":[25],"to":[27,90,135],"mine":[28],"interesting":[30],"trends":[31,141,163],"and":[32,40,44,102,131,157],"patterns.":[33],"For":[34,76,92,152],"such":[36],"trends,":[37,82],"different":[38],"techniques":[39,67,126],"algorithms":[41,175],"are":[42,54,116,133,176],"introduced":[43],"applied":[45],"during":[46,148],"last":[48],"decades.":[49],"In":[50],"this":[51,93],"paper,":[52],"we":[53,83],"extracting":[55],"essence":[57],"from":[58,88],"massive":[59],"text":[60],"corpora":[61],"in":[62,69,118,142,166],"form":[64,168],"potential":[66],"used":[68],"esteemed":[71,119],"field":[72,144],"mining.":[75],"purpose":[78],"exploring":[80],"considered":[84],"time":[86],"span":[87],"2014":[89],"2018.":[91],"purpose,":[94],"a":[95],"novel":[96],"dataset":[97],"comprising":[98],"abstracts":[101],"metadata":[103],"5,843":[105],"articles":[106],"procured.":[108],"All":[109],"extracted":[111],"contents":[112],"published":[117],"journals":[120],"indexed":[121],"by":[122],"ScienceDirect.":[123],"Text":[124],"including":[127],"noun":[128],"phrase":[129],"TF-IDF":[132],"employed":[134],"reveal":[136],"evolution":[138,159],"hot":[140,162],"underlying":[150],"span.":[151],"better":[153],"visualization,":[154],"year-wise":[156],"overall":[158],"these":[161],"presented":[165],"word":[171],"cloud.":[172],"Machine":[173],"learning":[174],"found":[177],"as":[178],"shoulders":[180],"giants,":[183],"on":[184],"which,":[185],"domain":[188],"standing.":[190]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}