{"id":"https://openalex.org/W2017654459","doi":"https://doi.org/10.1145/1835804.1835956","title":"The next generation of transportation systems,greenhouse emissions, and data mining","display_name":"The next generation of transportation systems,greenhouse emissions, and data mining","publication_year":2010,"publication_date":"2010-07-25","ids":{"openalex":"https://openalex.org/W2017654459","doi":"https://doi.org/10.1145/1835804.1835956","mag":"2017654459"},"language":"en","primary_location":{"id":"doi:10.1145/1835804.1835956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th 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/A5110725220","display_name":"Hillol Kargupta","orcid":null},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hillol Kargupta","raw_affiliation_strings":["University of Maryland, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114376321","display_name":"Jo\u00e3o Gama","orcid":"https://orcid.org/0000-0003-3357-1195"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joao Gama","raw_affiliation_strings":["University Porto, Porto, Portugal"],"affiliations":[{"raw_affiliation_string":"University Porto, Porto, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041535237","display_name":"Wei Fan","orcid":"https://orcid.org/0000-0001-9850-9734"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Fan","raw_affiliation_strings":["IBM T.J.Watson Research, New York, USA","IBM T.J.Watson Research, New York, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM T.J.Watson Research, New York, USA","institution_ids":[]},{"raw_affiliation_string":"IBM T.J.Watson Research, New York, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110725220"],"corresponding_institution_ids":["https://openalex.org/I126744593"],"apc_list":null,"apc_paid":null,"fwci":2.3673,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88746348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1209","last_page":"1212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12238","display_name":"Green IT and Sustainability","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/watson","display_name":"Watson","score":0.8358641266822815},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.7902438640594482},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.746435284614563},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.5131946206092834},{"id":"https://openalex.org/keywords/greenhouse-gas","display_name":"Greenhouse gas","score":0.4442264139652252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42251116037368774},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33425045013427734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07983782887458801}],"concepts":[{"id":"https://openalex.org/C2776608531","wikidata":"https://www.wikidata.org/wiki/Q12253","display_name":"Watson","level":2,"score":0.8358641266822815},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.7902438640594482},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.746435284614563},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.5131946206092834},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.4442264139652252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42251116037368774},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33425045013427734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07983782887458801},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1835804.1835956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.298.5775","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.5775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.columbia.edu/~wfan/PAPERS/kdd10tran.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320309204","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1579510937","https://openalex.org/W2025350261","https://openalex.org/W2026990768","https://openalex.org/W2041985753","https://openalex.org/W2141387892","https://openalex.org/W2272908325"],"related_works":["https://openalex.org/W3174693904","https://openalex.org/W2151363515","https://openalex.org/W2902037120","https://openalex.org/W2313409890","https://openalex.org/W2244083478","https://openalex.org/W2560584003","https://openalex.org/W1035030678","https://openalex.org/W2967949125","https://openalex.org/W1986704677","https://openalex.org/W4281622825"],"abstract_inverted_index":{"Controling":[0],"Greenhouse":[1],"gas":[2],"(GHG)":[3],"emissions":[4],"for":[5],"minimizing":[6],"the":[7,10,15,21],"impact":[8],"on":[9],"environment":[11],"is":[12],"one":[13],"of":[14,20],"major":[16],"challenges":[17],"in":[18],"front":[19],"human":[22],"civilization.":[23],"Although":[24],"future":[25],"concentrations,":[26],"damages":[27],"and":[28],"costs":[29],"are":[30],"unknown,":[31],"it":[32]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}