{"id":"https://openalex.org/W1990256610","doi":"https://doi.org/10.1145/2487575.2488193","title":"Analysis of advanced meter infrastructure data of water consumption in apartment buildings","display_name":"Analysis of advanced meter infrastructure data of water consumption in apartment buildings","publication_year":2013,"publication_date":"2013-08-11","ids":{"openalex":"https://openalex.org/W1990256610","doi":"https://doi.org/10.1145/2487575.2488193","mag":"1990256610"},"language":"en","primary_location":{"id":"doi:10.1145/2487575.2488193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2488193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5001548060","display_name":"Einat Kermany","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Einat Kermany","raw_affiliation_strings":["IBM Research - Haifa, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057170229","display_name":"Hanna Mazzawi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Hanna Mazzawi","raw_affiliation_strings":["IBM Research - Haifa, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081142433","display_name":"Dorit Baras","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dorit Baras","raw_affiliation_strings":["IBM Research - Haifa, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109865748","display_name":"Y. Naveh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yehuda Naveh","raw_affiliation_strings":["IBM Research - Haifa, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043674419","display_name":"Hagai Michaelis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hagai Michaelis","raw_affiliation_strings":["Arad Technologies, Yokneam Elite, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arad Technologies, Yokneam Elite, Israel","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9411,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8568057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1159","last_page":"1167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9958000183105469,"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/apartment","display_name":"Apartment","score":0.7716761827468872},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.725928544998169},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.6661920547485352},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5595118999481201},{"id":"https://openalex.org/keywords/metre","display_name":"Metre","score":0.555220901966095},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5320239067077637},{"id":"https://openalex.org/keywords/water-consumption","display_name":"Water consumption","score":0.5173987150192261},{"id":"https://openalex.org/keywords/technician","display_name":"Technician","score":0.4996633529663086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4353106617927551},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4121858477592468},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3243047893047333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2562722861766815},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.2048853039741516},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.1738656461238861},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.09532108902931213}],"concepts":[{"id":"https://openalex.org/C2779265402","wikidata":"https://www.wikidata.org/wiki/Q188507","display_name":"Apartment","level":2,"score":0.7716761827468872},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.725928544998169},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.6661920547485352},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5595118999481201},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.555220901966095},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5320239067077637},{"id":"https://openalex.org/C2982944804","wikidata":"https://www.wikidata.org/wiki/Q26534","display_name":"Water consumption","level":2,"score":0.5173987150192261},{"id":"https://openalex.org/C2776229289","wikidata":"https://www.wikidata.org/wiki/Q5352191","display_name":"Technician","level":2,"score":0.4996633529663086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4353106617927551},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4121858477592468},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3243047893047333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2562722861766815},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.2048853039741516},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.1738656461238861},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.09532108902931213},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2487575.2488193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2488193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.5199999809265137,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1532858058","https://openalex.org/W1989930380","https://openalex.org/W2002457254","https://openalex.org/W2002646710","https://openalex.org/W2037559546","https://openalex.org/W2042443642","https://openalex.org/W2054435830","https://openalex.org/W2119731860","https://openalex.org/W2126151899","https://openalex.org/W2134992506","https://openalex.org/W2137130182","https://openalex.org/W2139178140","https://openalex.org/W2148926368","https://openalex.org/W2155745365","https://openalex.org/W2159999338","https://openalex.org/W2183067340","https://openalex.org/W2799061466","https://openalex.org/W3141923273","https://openalex.org/W4244494905","https://openalex.org/W4285719527","https://openalex.org/W6610017368","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2417337712","https://openalex.org/W179444052","https://openalex.org/W2361147738","https://openalex.org/W2379163256","https://openalex.org/W2373250879","https://openalex.org/W787940304","https://openalex.org/W2347297900","https://openalex.org/W2892251864","https://openalex.org/W2972811271","https://openalex.org/W2618794312"],"abstract_inverted_index":{"We":[0,25],"present":[1],"our":[2],"experience":[3],"of":[4,34,47,77,86,101,109,117,139,151,173,184],"using":[5],"machine":[6],"learning":[7],"techniques":[8,132],"over":[9],"data":[10,130],"originating":[11],"from":[12,56],"advanced":[13,129],"meter":[14],"infrastructure":[15],"(AMI)":[16],"systems":[17],"for":[18,145],"water":[19],"consumption":[20],"in":[21,81,115,133,158,164,171,175,181],"a":[22,51,179],"medium-size":[23],"city.":[24],"focus":[26,52],"on":[27,53,68],"two":[28,90],"new":[29],"use":[30,41,72,91],"cases":[31,92,116,121],"that":[32],"are":[33,67,93,122],"special":[35],"importance":[36],"to":[37,96,112,125,135,168],"city":[38,97],"authorities.":[39],"One":[40],"case":[42,73],"is":[43,74],"the":[44,64,75,82,102,110,113,159,169,182],"automatic":[45],"identification":[46,76],"malfunctioning":[48,152],"meters,":[49],"with":[50],"distinguishing":[54],"them":[55],"legitimate":[57],"non-consumption":[58],"such":[59],"as":[60,154,156],"during":[61],"periods":[62],"when":[63],"household":[65],"residents":[66,114],"vacation.":[69],"The":[70],"other":[71],"leaks":[78,157],"or":[79],"theft":[80],"unmetered":[83],"common":[84,160],"areas":[85],"apartment":[87],"buildings.":[88],"These":[89],"highly":[94],"important":[95],"authorities":[98,170],"both":[99],"because":[100,108],"lost":[103],"revenue":[104],"they":[105],"imply":[106],"and":[107,127,147,178],"hassle":[111],"delayed":[118],"identification.":[119,141],"Both":[120],"inherently":[123],"complex":[124],"analyze":[126],"require":[128],"mining":[131],"order":[134],"achieve":[136],"high":[137],"levels":[138],"correct":[140],"Our":[142],"results":[143,163],"provide":[144],"faster":[146],"more":[148],"accurate":[149],"detection":[150],"meters":[153],"well":[155],"areas.":[161],"This":[162],"significant":[165],"tangible":[166],"value":[167],"terms":[172],"increase":[174],"technician":[176],"efficiency":[177],"decrease":[180],"amount":[183],"wasted,":[185],"non-revenue,":[186],"water.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}