{"id":"https://openalex.org/W2151458198","doi":"https://doi.org/10.1145/2185677.2185702","title":"Understanding city dynamics by manifold learning correlation analysis","display_name":"Understanding city dynamics by manifold learning correlation analysis","publication_year":2012,"publication_date":"2012-04-16","ids":{"openalex":"https://openalex.org/W2151458198","doi":"https://doi.org/10.1145/2185677.2185702","mag":"2151458198"},"language":"en","primary_location":{"id":"doi:10.1145/2185677.2185702","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2185677.2185702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th international conference on Information Processing in Sensor Networks","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/A5101463813","display_name":"Wenzhu Zhang","orcid":"https://orcid.org/0000-0001-7040-3268"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzhu Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351850","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-4394-2685"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101463813"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27039461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9886999726295471,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9886999726295471,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.6917611360549927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370629668235779},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5653575658798218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49845027923583984},{"id":"https://openalex.org/keywords/physical-space","display_name":"Physical space","score":0.4814164340496063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4682776927947998},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4542139768600464},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44820478558540344},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4414340853691101},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4176332950592041},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3840484321117401},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3305336833000183},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2817530632019043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20376107096672058},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14160913228988647},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11872610449790955},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09417977929115295}],"concepts":[{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.6917611360549927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370629668235779},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5653575658798218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49845027923583984},{"id":"https://openalex.org/C2982717780","wikidata":"https://www.wikidata.org/wiki/Q107","display_name":"Physical space","level":2,"score":0.4814164340496063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4682776927947998},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4542139768600464},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44820478558540344},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4414340853691101},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4176332950592041},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3840484321117401},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3305336833000183},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2817530632019043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20376107096672058},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14160913228988647},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11872610449790955},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09417977929115295},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2185677.2185702","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2185677.2185702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th international conference on Information Processing in Sensor Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2002374738","https://openalex.org/W2104290444","https://openalex.org/W2997701990","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W3159953198","https://openalex.org/W49725993","https://openalex.org/W2380477800","https://openalex.org/W2347974653","https://openalex.org/W2766342722","https://openalex.org/W2380996235","https://openalex.org/W2573981081"],"abstract_inverted_index":{"Cities":[0],"have":[1,19],"long":[2],"been":[3],"considered":[4],"as":[5],"complex":[6],"entities":[7],"with":[8],"nonlinear":[9],"and":[10,16,31,54,77],"dynamic":[11],"properties.":[12],"Pervasive":[13],"urban":[14],"sensing":[15],"crowd":[17],"sourcing":[18],"become":[20],"prevailing":[21],"technologies":[22],"that":[23],"enhance":[24],"the":[25,28,32,49,72],"interplay":[26],"between":[27],"cyber":[29],"space":[30],"physical":[33,61],"world.":[34],"In":[35],"this":[36],"paper,":[37],"a":[38],"spectral":[39],"graph":[40],"based":[41],"manifold":[42],"learning":[43],"method":[44,85],"is":[45,63],"proposed":[46],"to":[47],"alleviate":[48],"impact":[50],"of":[51,59,74,83],"noisy,":[52],"sparse":[53],"high-dimensional":[55],"dataset.":[56],"Correlation":[57],"analysis":[58],"two":[60],"processes":[62],"enhanced":[64],"by":[65],"semi-supervised":[66],"machine":[67],"learning.":[68],"Preliminary":[69],"evaluations":[70],"on":[71],"correlation":[73],"traffic":[75],"density":[76],"air":[78],"quality":[79],"reveal":[80],"great":[81],"potential":[82],"our":[84],"in":[86],"future":[87],"intelligent":[88],"evironment":[89],"study.":[90]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
