{"id":"https://openalex.org/W2770934906","doi":"https://doi.org/10.1109/afrcon.2017.8095538","title":"Factor subset selection for predicting sustainability of a telecentre using case-based reasoning","display_name":"Factor subset selection for predicting sustainability of a telecentre using case-based reasoning","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2770934906","doi":"https://doi.org/10.1109/afrcon.2017.8095538","mag":"2770934906"},"language":"en","primary_location":{"id":"doi:10.1109/afrcon.2017.8095538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2017.8095538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE AFRICON","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/A5056129695","display_name":"Boyce Sigweni","orcid":"https://orcid.org/0000-0002-4678-3835"},"institutions":[{"id":"https://openalex.org/I216286881","display_name":"Botswana International University of Science and Technology","ror":"https://ror.org/04cr2sq58","country_code":"BW","type":"education","lineage":["https://openalex.org/I216286881"]}],"countries":["BW"],"is_corresponding":true,"raw_author_name":"Boyce Sigweni","raw_affiliation_strings":["Department of Electrical, Botswana International University of Science and Technology, Palapye, Botswana"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Botswana International University of Science and Technology, Palapye, Botswana","institution_ids":["https://openalex.org/I216286881"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025017385","display_name":"Mmoloki Mangwala","orcid":"https://orcid.org/0000-0002-4960-1814"},"institutions":[{"id":"https://openalex.org/I216286881","display_name":"Botswana International University of Science and Technology","ror":"https://ror.org/04cr2sq58","country_code":"BW","type":"education","lineage":["https://openalex.org/I216286881"]}],"countries":["BW"],"is_corresponding":false,"raw_author_name":"Mmoloki Mangwala","raw_affiliation_strings":["Department of Electrical, Botswana International University of Science and Technology, Palapye, Botswana"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Botswana International University of Science and Technology, Palapye, Botswana","institution_ids":["https://openalex.org/I216286881"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091823652","display_name":"Daniel Azerikatoa Ayoung","orcid":"https://orcid.org/0000-0002-8249-0538"},"institutions":[{"id":"https://openalex.org/I4399598459","display_name":"Bolgatanga Technical University","ror":"https://ror.org/003p8mm90","country_code":null,"type":"education","lineage":["https://openalex.org/I4399598459"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Daniel Azerikatoa Ayoung","raw_affiliation_strings":["Bolgatanga Polytechnic, Bolgatanga, Ghana"],"affiliations":[{"raw_affiliation_string":"Bolgatanga Polytechnic, Bolgatanga, Ghana","institution_ids":["https://openalex.org/I4399598459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056129695"],"corresponding_institution_ids":["https://openalex.org/I216286881"],"apc_list":null,"apc_paid":null,"fwci":0.3807,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70794783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"536","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7285370826721191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098439931869507},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6693857312202454},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.6536258459091187},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6149417161941528},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5786497592926025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.559285581111908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5022845268249512},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.5014476776123047},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.46914854645729065},{"id":"https://openalex.org/keywords/information-and-communications-technology","display_name":"Information and Communications Technology","score":0.42188674211502075},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16292724013328552},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10373631119728088},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08819139003753662}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7285370826721191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098439931869507},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6693857312202454},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.6536258459091187},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6149417161941528},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5786497592926025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.559285581111908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5022845268249512},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.5014476776123047},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.46914854645729065},{"id":"https://openalex.org/C67363961","wikidata":"https://www.wikidata.org/wiki/Q5268834","display_name":"Information and Communications Technology","level":2,"score":0.42188674211502075},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16292724013328552},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10373631119728088},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08819139003753662},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/afrcon.2017.8095538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2017.8095538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE AFRICON","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W16726058","https://openalex.org/W141515324","https://openalex.org/W341960222","https://openalex.org/W578092267","https://openalex.org/W1489312152","https://openalex.org/W1565404021","https://openalex.org/W1576938044","https://openalex.org/W1803226160","https://openalex.org/W1842258679","https://openalex.org/W1933946755","https://openalex.org/W1967440082","https://openalex.org/W1979338343","https://openalex.org/W2009851380","https://openalex.org/W2023975981","https://openalex.org/W2060939952","https://openalex.org/W2064582668","https://openalex.org/W2087664753","https://openalex.org/W2093769255","https://openalex.org/W2094584396","https://openalex.org/W2097670073","https://openalex.org/W2097891808","https://openalex.org/W2103228482","https://openalex.org/W2104236502","https://openalex.org/W2106068041","https://openalex.org/W2113160986","https://openalex.org/W2118545855","https://openalex.org/W2120962943","https://openalex.org/W2121619641","https://openalex.org/W2125791732","https://openalex.org/W2125798183","https://openalex.org/W2134866934","https://openalex.org/W2137524822","https://openalex.org/W2139153554","https://openalex.org/W2153596342","https://openalex.org/W2160106522","https://openalex.org/W2161176220","https://openalex.org/W2284790036","https://openalex.org/W2291700910","https://openalex.org/W2401339491","https://openalex.org/W2435423506","https://openalex.org/W2499592609","https://openalex.org/W2998216295","https://openalex.org/W3004087720","https://openalex.org/W4285719527","https://openalex.org/W6629280435","https://openalex.org/W6639035455","https://openalex.org/W6683494255","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2978999882","https://openalex.org/W3141031773","https://openalex.org/W2348909947","https://openalex.org/W1595686156","https://openalex.org/W2181392282","https://openalex.org/W4292672442","https://openalex.org/W2119369480","https://openalex.org/W148937441","https://openalex.org/W1999404995","https://openalex.org/W2362101859"],"abstract_inverted_index":{"Background:":[0],"Telecentre":[1],"implementation":[2],"in":[3,58,85],"developing":[4],"countries":[5],"such":[6],"as":[7],"Ghana,":[8],"has":[9,35],"been":[10,17,31],"inundated":[11],"with":[12,117,138,201],"failure.":[13],"Various":[14,28],"methods":[15,29,137],"have":[16,30],"proposed":[18],"to":[19,44,65,79,108,123,159,198,203,211,231,243,247],"mitigate":[20],"these":[21,110,185],"failures,":[22],"considering":[23],"the":[24,51,59,81,86,92,101,125,151,156,175,234,248],"substantial":[25],"amounts":[26],"invested.":[27],"proposed.":[32],"Recent":[33],"work":[34],"shown":[36],"that":[37,53,174,194],"case-based":[38],"reasoning":[39],"(CBR)":[40],"can":[41,183],"be":[42,66],"used":[43],"predict":[45,124,160,213],"sustainability":[46,87],"of":[47,61,88,94,155,177,207,215,229],"a":[48,55,89,95,190],"telecentre.":[49,90],"Unfortunately,":[50],"factors":[52,84,158,206,251],"play":[54],"major":[56],"role":[57],"collapse":[60],"telecentres":[62,230],"are":[63],"yet":[64],"determined.":[67],"Objective:":[68],"To":[69],"combine":[70],"two":[71,133],"approaches":[72],"(ICT4D":[73],"evaluation":[74],"and":[75,78,153,180,210,227],"Machine":[76,178],"Learning)":[77],"identify":[80,109,184,204],"most":[82,235,249],"important":[83,186,205,236,250],"Through":[91],"use":[93,150,199],"case":[96],"study,":[97],"this":[98,220],"paper":[99],"applies":[100],"well-established":[102],"feature":[103],"subset":[104],"selection":[105],"(FSS)":[106],"methodology":[107],"influential":[111],"factors.":[112,187,237],"Method:":[113],"We":[114,131,148,163],"apply":[115],"CBR":[116,200],"FSS":[118,136,202],"on":[119,169,233],"real":[120,170],"life":[121],"dataset":[122],"Design":[126],"Reality":[127],"Gap":[128],"score":[129],"(DRGS).":[130],"compare":[132],"machine":[134],"learning":[135],"Expert":[139],"Based":[140],"Selection":[141],"(EBS)":[142],"method":[143],"against":[144],"benchmark":[145],"using":[146],"ArchANGEL.":[147],"also":[149],"union":[152],"intersection":[154],"selected":[157],"DRGS.":[161],"Findings:":[162],"demonstrate":[164],"through":[165],"our":[166],"experiments":[167],"based":[168],"world":[171],"data":[172],"sets":[173],"combination":[176],"Learning":[179],"Information":[181],"Systems":[182],"This":[188,238],"gives":[189],"refreshing":[191],"indication":[192],"suggesting":[193],"it":[195,222],"is":[196,223],"feasible":[197],"ICT":[208],"initiatives":[209],"adequately":[212],"outcome":[214],"an":[216,241,254],"initiative.":[217],"Implication:":[218],"Using":[219],"approach":[221],"possible":[224],"for":[225],"managers":[226],"owners":[228],"focus":[232],"affords":[239],"managers/owners":[240],"opportunity":[242],"channel":[244],"limited":[245],"resources":[246],"thereby":[252],"saving":[253],"ailing":[255],"centre.":[256]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
