{"id":"https://openalex.org/W2295752535","doi":"https://doi.org/10.1145/2820783.2820802","title":"BACR","display_name":"BACR","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2295752535","doi":"https://doi.org/10.1145/2820783.2820802","mag":"2295752535"},"language":"en","primary_location":{"id":"doi:10.1145/2820783.2820802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2820783.2820802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","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/A5062987908","display_name":"Martin Werner","orcid":"https://orcid.org/0000-0002-6951-8022"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Werner","raw_affiliation_strings":["Ludwig-Maximilians University Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians University Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062987908"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.8616,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75857043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9854000210762024,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9656999707221985,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/jaccard-index","display_name":"Jaccard index","score":0.9701396226882935},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7303390502929688},{"id":"https://openalex.org/keywords/bloom-filter","display_name":"Bloom filter","score":0.7080538868904114},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.6396365165710449},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6259716749191284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5518251657485962},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5497631430625916},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.48938149213790894},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46581175923347473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3991619050502777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3951314687728882},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36869844794273376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29171764850616455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26117557287216187},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07923492789268494}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.9701396226882935},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7303390502929688},{"id":"https://openalex.org/C147224247","wikidata":"https://www.wikidata.org/wiki/Q885373","display_name":"Bloom filter","level":2,"score":0.7080538868904114},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.6396365165710449},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6259716749191284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5518251657485962},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5497631430625916},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.48938149213790894},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46581175923347473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3991619050502777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3951314687728882},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36869844794273376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29171764850616455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26117557287216187},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07923492789268494},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2820783.2820802","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2820783.2820802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","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":18,"referenced_works":["https://openalex.org/W86213483","https://openalex.org/W757727815","https://openalex.org/W1502916507","https://openalex.org/W1626398438","https://openalex.org/W1991800036","https://openalex.org/W1993284846","https://openalex.org/W2001715705","https://openalex.org/W2012833704","https://openalex.org/W2065014987","https://openalex.org/W2077451659","https://openalex.org/W2081193615","https://openalex.org/W2091921805","https://openalex.org/W2096729078","https://openalex.org/W2098292500","https://openalex.org/W2112537844","https://openalex.org/W2123845384","https://openalex.org/W2561675875","https://openalex.org/W6674416663"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W4401519790","https://openalex.org/W2913569734","https://openalex.org/W2702570413","https://openalex.org/W3127229356","https://openalex.org/W2901284887","https://openalex.org/W3029855794"],"abstract_inverted_index":{"This":[0,102],"paper":[1],"proposes":[2],"a":[3,26,66,77,99,135,149],"length-independent":[4],"feature":[5,152],"representation":[6],"of":[7,9,29,50,53,59,83,110,126,141,143],"sets":[8,60,127,142],"strings":[10,144],"based":[11],"on":[12,107],"Bloom":[13,62],"filters":[14],"called":[15],"BACR":[16,151],"for":[17,39,73,80,98,156],"similarity":[18,95,105,157],"search":[19,38,106,158],"in":[20,35,42,134],"databases.":[21,44],"Further,":[22],"we":[23,64,86,115],"show":[24,87,116],"how":[25],"Z-curve-based":[27],"discretization":[28],"geospatial":[30],"trajectories":[31,41],"can":[32,145],"be":[33,146],"used":[34],"order":[36],"to":[37,46,68],"similar":[40],"large":[43,108],"Additionally":[45],"the":[47,51,54,57,74,81,89,118,124,130],"already-known":[48],"estimation":[49],"size":[52],"union":[55,82,125],"and":[56,76,92,128,165],"intersection":[58,75],"from":[61],"filters,":[63],"propose":[65],"way":[67,136],"calculate":[69],"an":[70],"upper":[71],"bound":[72,79],"lower":[78,100],"sets.":[84],"Consequently,":[85],"that":[88,117,138],"Jaccard":[90,119,131],"distance":[91,120,132],"many":[93],"other":[94],"measures":[96],"allow":[97],"bound.":[101],"makes":[103],"exact":[104],"databases":[109],"this":[111],"type":[112],"feasible.":[113],"Finally,":[114],"is":[121],"incompatible":[122],"with":[123,148],"replace":[129],"appropriately":[133],"such":[137],"even":[139],"collections":[140],"represented":[147],"single":[150],"vector":[153],"at":[154],"least":[155],"applications.":[159],"The":[160],"algorithms":[161],"are":[162],"thoroughly":[163],"evaluated":[164],"motivated":[166],"by":[167],"real-world":[168],"examples.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
