{"id":"https://openalex.org/W2011244864","doi":"https://doi.org/10.1145/2619112.2619118","title":"New Clustering and Analyzing Technique for Mining Multi-source Enriched Geo-spatial Data","display_name":"New Clustering and Analyzing Technique for Mining Multi-source Enriched Geo-spatial Data","publication_year":2014,"publication_date":"2014-06-22","ids":{"openalex":"https://openalex.org/W2011244864","doi":"https://doi.org/10.1145/2619112.2619118","mag":"2011244864"},"language":"en","primary_location":{"id":"doi:10.1145/2619112.2619118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2619112.2619118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data","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/A5066403927","display_name":"Sujing Wang","orcid":"https://orcid.org/0000-0002-8774-6328"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sujing Wang","raw_affiliation_strings":["Dept. of Computer Science, University of Houston, Houston, TX 77204, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Houston, Houston, TX 77204, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101191897","display_name":"Tianxing Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I177898655","display_name":"Lamar University","ror":"https://ror.org/008ms5s18","country_code":"US","type":"education","lineage":["https://openalex.org/I177898655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianxing Cai","raw_affiliation_strings":["Dept. of Chemical Engineering, Lamar University, Beaumont, TX 77710, USA","Department of Chemical Engineering, Lamar University, Beaumont, TX, 77710, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Chemical Engineering, Lamar University, Beaumont, TX 77710, USA","institution_ids":["https://openalex.org/I177898655"]},{"raw_affiliation_string":"Department of Chemical Engineering, Lamar University, Beaumont, TX, 77710, USA","institution_ids":["https://openalex.org/I177898655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056584154","display_name":"Christoph F. Eick","orcid":"https://orcid.org/0000-0002-6798-103X"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christoph F. Eick","raw_affiliation_strings":["Dept. of Computer Science, University of Houston, Houston, TX 77204, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Houston, Houston, TX 77204, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066403927"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08524306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"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":0.9958000183105469,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9843999743461609,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7929356098175049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395306825637817},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6326647996902466},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.49369749426841736},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4485779404640198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23294976353645325},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13414683938026428},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12799081206321716}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7929356098175049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395306825637817},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6326647996902466},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.49369749426841736},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4485779404640198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23294976353645325},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13414683938026428},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12799081206321716}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2619112.2619118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2619112.2619118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of Workshop on Managing and Mining Enriched Geo-Spatial Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1805070110","https://openalex.org/W1821242282","https://openalex.org/W2002151188","https://openalex.org/W2002849566","https://openalex.org/W2003604830","https://openalex.org/W2023706795","https://openalex.org/W2023846135","https://openalex.org/W2047216628","https://openalex.org/W2049974597","https://openalex.org/W2060346657","https://openalex.org/W2084639365","https://openalex.org/W2115511946","https://openalex.org/W2126189766","https://openalex.org/W2151573792"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W3025157844"],"abstract_inverted_index":{"Mining":[0],"multi-source":[1,49,124],"enriched":[2,50,81,125],"geo-spatial":[3,51,82],"data":[4],"is":[5],"an":[6],"important":[7],"task":[8],"in":[9,69,103],"many":[10],"application":[11],"domains,":[12],"such":[13],"as":[14],"environmental":[15],"science,":[16,19],"geographic":[17],"information":[18,122],"and":[20,36,45,76,120],"social":[21],"networks.":[22],"In":[23,64],"this":[24,70],"paper,":[25],"we":[26],"propose":[27],"a":[28,37,94],"new":[29],"density-based":[30,57],"spatio-temporal":[31,118],"clustering":[32,62],"algorithm":[33],"called":[34],"Poly-ST-SNN":[35,53],"post-processing":[38],"analysis":[39],"technique":[40],"to":[41,66],"extract":[42],"interesting":[43,117],"patterns":[44,119],"useful":[46,121],"knowledge":[47],"from":[48,123],"data.":[52,128],"extends":[54],"the":[55,88,104],"well-established":[56],"Shared":[58],"Nearest":[59],"Neighbor":[60],"(SNN)":[61],"algorithm.":[63],"contrast":[65],"previous":[67],"works":[68],"area,":[71],"our":[72,91,113],"approaches":[73,114],"can":[74,115],"cluster":[75],"analyze":[77],"dynamically":[78],"evolved":[79],"complex":[80],"objects,":[83],"i.e.,":[84],"polygons.":[85],"We":[86],"evaluate":[87],"effectiveness":[89],"of":[90],"techniques":[92],"through":[93],"challenging":[95],"real":[96],"case":[97],"study":[98],"involving":[99],"ozone":[100,126],"pollution":[101,127],"events":[102],"Houston-Galveston-Brazoria":[105],"(HGB)":[106],"area.":[107],"The":[108],"experimental":[109],"results":[110],"show":[111],"that":[112],"discover":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
