{"id":"https://openalex.org/W2725667553","doi":"https://doi.org/10.1504/ijista.2017.10005998","title":"Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study","display_name":"Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2725667553","doi":"https://doi.org/10.1504/ijista.2017.10005998","mag":"2725667553"},"language":"en","primary_location":{"id":"doi:10.1504/ijista.2017.10005998","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijista.2017.10005998","pdf_url":null,"source":{"id":"https://openalex.org/S142907639","display_name":"International Journal of Intelligent Systems Technologies and Applications","issn_l":"1740-8865","issn":["1740-8865","1740-8873"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Intelligent Systems Technologies and Applications","raw_type":"journal-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/A5100400043","display_name":"Fang Chen","orcid":"https://orcid.org/0000-0003-4971-8729"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Fang Chen","raw_affiliation_strings":["DATA61, CSIRO, Level 5, 13 Garden Street, Eveleigh, NSW 2015, Australia"],"affiliations":[{"raw_affiliation_string":"DATA61, CSIRO, Level 5, 13 Garden Street, Eveleigh, NSW 2015, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047165067","display_name":"Jianlong Zhou","orcid":"https://orcid.org/0000-0001-6034-644X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianlong Zhou","raw_affiliation_strings":["DATA61, CSIRO, Level 5, 13 Garden Street, Eveleigh, NSW 2015, Australia"],"affiliations":[{"raw_affiliation_string":"DATA61, CSIRO, Level 5, 13 Garden Street, Eveleigh, NSW 2015, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006423968","display_name":"Jinjun Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinjun Sun","raw_affiliation_strings":["Red Planet of Qantas Loyalty, 10 Bourke Road, Mascot, NSW 2020, Australia"],"affiliations":[{"raw_affiliation_string":"Red Planet of Qantas Loyalty, 10 Bourke Road, Mascot, NSW 2020, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714578","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-6815-0879"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["DATA61, CSIRO, Level 5, 13 Garden Street, Eveleigh, NSW 2015, Australia"],"affiliations":[{"raw_affiliation_string":"DATA61, CSIRO, Level 5, 13 Garden Street, Eveleigh, NSW 2015, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100400043"],"corresponding_institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":1.4003,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81161243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"3","first_page":"191","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.930899977684021,"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/machine-learning","display_name":"Machine learning","score":0.48318567872047424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47495150566101074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46897491812705994},{"id":"https://openalex.org/keywords/water-pipe","display_name":"Water pipe","score":0.4470062255859375},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.38487082719802856},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3742254972457886},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.23823678493499756}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48318567872047424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47495150566101074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46897491812705994},{"id":"https://openalex.org/C23966969","wikidata":"https://www.wikidata.org/wiki/Q3241671","display_name":"Water pipe","level":3,"score":0.4470062255859375},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.38487082719802856},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3742254972457886},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.23823678493499756},{"id":"https://openalex.org/C201289731","wikidata":"https://www.wikidata.org/wiki/Q1172599","display_name":"Inlet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijista.2017.10005998","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijista.2017.10005998","pdf_url":null,"source":{"id":"https://openalex.org/S142907639","display_name":"International Journal of Intelligent Systems Technologies and Applications","issn_l":"1740-8865","issn":["1740-8865","1740-8873"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Intelligent Systems Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W4205958290","https://openalex.org/W3107474891","https://openalex.org/W3209574120"],"abstract_inverted_index":{"Despite":[0],"the":[1,68,109],"recognised":[2],"value":[3],"of":[4,12,32,46],"machine":[5],"learning":[6],"(ML)":[7],"techniques":[8,15,28],"and":[9,38,85,100,120],"high":[10],"expectation":[11],"applying":[13,69],"ML":[14,27,36,52,91,95,98,121],"within":[16],"various":[17,75],"applications,":[18],"users":[19],"often":[20],"find":[21],"it":[22],"difficult":[23],"to":[24,65,108,124,129],"effectively":[25],"apply":[26],"in":[29,127],"practice":[30],"because":[31],"complicated":[33],"interfaces":[34],"between":[35],"algorithms":[37],"users.":[39],"This":[40],"paper":[41],"presents":[42],"a":[43,62],"work":[44],"flow":[45],"wrapping":[47],"practical":[48],"problems":[49],"into":[50,74],"an":[51],"framework.":[53],"The":[54],"water":[55],"pipe":[56],"failure":[57],"prediction":[58],"is":[59],"used":[60],"as":[61,103,105],"case":[63],"study":[64],"show":[66],"that":[67],"process":[70],"can":[71],"be":[72],"divided":[73],"steps:":[76],"obtain":[77],"domain":[78,82,88,118],"data,":[79,89],"interview":[80],"with":[81],"experts,":[83],"clean/pre-process":[84],"preview":[86],"original":[87],"extract":[90],"features,":[92],"set":[93],"up":[94],"models,":[96],"explain":[97],"results":[99],"make":[101,106,130],"decisions,":[102],"well":[104],"feedback":[107],"system":[110],"based":[111],"on":[112],"decision":[113],"making.":[114],"In":[115],"this":[116,131],"process,":[117],"experts":[119],"developers":[122],"need":[123],"collaborate":[125],"closely":[126],"order":[128],"workflow":[132],"more":[133],"effective.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}