{"id":"https://openalex.org/W2342604872","doi":"https://doi.org/10.1145/2834126.2834135","title":"Mining condensed spatial co-location patterns","display_name":"Mining condensed spatial co-location patterns","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2342604872","doi":"https://doi.org/10.1145/2834126.2834135","mag":"2342604872"},"language":"en","primary_location":{"id":"doi:10.1145/2834126.2834135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2834126.2834135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033387685","display_name":"Claudio Silvestri","orcid":"https://orcid.org/0000-0002-9909-1808"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Silvestri","raw_affiliation_strings":["Universit\u00e0 Ca' Foscari, Venezia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Ca' Foscari, Venezia, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009353103","display_name":"Francesco Cagnin","orcid":null},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Cagnin","raw_affiliation_strings":["Universit\u00e0 Ca' Foscari, Venezia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Ca' Foscari, Venezia, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011201364","display_name":"Francesco Lettich","orcid":"https://orcid.org/0000-0001-6914-2961"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Lettich","raw_affiliation_strings":["Universit\u00e0 Ca' Foscari, Venezia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Ca' Foscari, Venezia, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066317336","display_name":"Salvatore Orlando","orcid":"https://orcid.org/0000-0002-4155-9797"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salvatore Orlando","raw_affiliation_strings":["Universit\u00e0 Ca' Foscari, Venezia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Ca' Foscari, Venezia, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068240080","display_name":"M\u00f3nica Wachowicz","orcid":"https://orcid.org/0000-0002-4659-0101"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Monica Wachowicz","raw_affiliation_strings":["University of New Brunswick, Fredericton, NB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"84","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/spatial-ecology","display_name":"Spatial ecology","score":0.7450076341629028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6122272610664368},{"id":"https://openalex.org/keywords/common-spatial-pattern","display_name":"Common spatial pattern","score":0.6066855192184448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5834566950798035},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5629525780677795},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5453341603279114},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.544503390789032},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5245906710624695},{"id":"https://openalex.org/keywords/co-occurrence","display_name":"Co-occurrence","score":0.5019433498382568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4946450889110565},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4392067790031433},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4240199625492096},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4198282063007355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3084629774093628},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2049514651298523},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1692238450050354},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08050283789634705}],"concepts":[{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.7450076341629028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122272610664368},{"id":"https://openalex.org/C173727882","wikidata":"https://www.wikidata.org/wiki/Q5153620","display_name":"Common spatial pattern","level":2,"score":0.6066855192184448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5834566950798035},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5629525780677795},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5453341603279114},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.544503390789032},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5245906710624695},{"id":"https://openalex.org/C154290570","wikidata":"https://www.wikidata.org/wiki/Q1756768","display_name":"Co-occurrence","level":2,"score":0.5019433498382568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4946450889110565},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4392067790031433},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4240199625492096},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4198282063007355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3084629774093628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2049514651298523},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1692238450050354},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08050283789634705},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2834126.2834135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2834126.2834135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unive.it:10278/3664875","is_oa":false,"landing_page_url":"http://hdl.handle.net/10278/3664875","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5407130337","display_name":null,"funder_award_id":"295179","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1515526911","https://openalex.org/W1525898800","https://openalex.org/W2011103514","https://openalex.org/W2050419399","https://openalex.org/W2108560469","https://openalex.org/W2115482638","https://openalex.org/W2136171062","https://openalex.org/W2166559705","https://openalex.org/W2998574808"],"related_works":["https://openalex.org/W1486009484","https://openalex.org/W2746184848","https://openalex.org/W4238028212","https://openalex.org/W2963387968","https://openalex.org/W4239351380","https://openalex.org/W2361570780","https://openalex.org/W2146714472","https://openalex.org/W2343030682","https://openalex.org/W1520742015","https://openalex.org/W2342604872"],"abstract_inverted_index":{"The":[0],"discovery":[1],"of":[2,21,39,53,56,64,74,80,110],"co-location":[3,23,28,42,58,97,116],"patterns":[4,59,65,82,98],"among":[5],"spatial":[6,13,22,27,57,96,115],"events":[7],"is":[8,47],"an":[9],"important":[10],"task":[11],"in":[12,60,108],"data":[14,112],"mining.":[15],"We":[16],"introduce":[17],"a":[18,35,51,54],"new":[19],"kind":[20],"patterns,":[24,29],"named":[25],"condensed":[26,45,95],"that":[30,67,94],"can":[31],"be":[32],"considered":[33],"as":[34],"lossy":[36],"compressed":[37],"representation":[38],"all":[40],"the":[41,48,61,68,71,75,78,81,85],"patterns.":[43,117],"Each":[44],"pattern":[46],"representative,":[49],"and":[50,77,105],"superset,":[52],"group":[55,87],"full":[62],"set":[63],"such":[66],"difference":[69],"between":[70],"interestingness":[72],"measure":[73],"representative":[76],"measures":[79],"belonging":[83],"to":[84,102],"associated":[86],"are":[88,99],"negligible.":[89],"Our":[90],"preliminary":[91],"experiments":[92],"show":[93],"less":[100],"sensitive":[101],"parameter":[103],"changes":[104],"more":[106],"robust":[107],"presence":[109],"missing":[111],"than":[113],"closed":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}