{"id":"https://openalex.org/W2963337882","doi":"https://doi.org/10.1007/978-3-319-71470-7_4","title":"Jaccard Analysis and LASSO-Based Feature Selection for Location Fingerprinting with Limited Computational Complexity","display_name":"Jaccard Analysis and LASSO-Based Feature Selection for Location Fingerprinting with Limited Computational Complexity","publication_year":2017,"publication_date":"2017-12-08","ids":{"openalex":"https://openalex.org/W2963337882","doi":"https://doi.org/10.1007/978-3-319-71470-7_4","mag":"2963337882"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-71470-7_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-71470-7_4","pdf_url":null,"source":{"id":"https://openalex.org/S4210190054","display_name":"Lecture notes in geoinformation and cartography","issn_l":"1863-2246","issn":["1863-2246","1863-2351"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Geoinformation and Cartography","raw_type":"book-chapter"},"type":"book-chapter","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/A5074651754","display_name":"Caifa Zhou","orcid":"https://orcid.org/0000-0002-3304-5497"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Caifa Zhou","raw_affiliation_strings":["Institute of Geodesy & Photogrammetry, ETH Z\u00fcrich, Stefano-Franscini-Platz 5, 8093, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Geodesy & Photogrammetry, ETH Z\u00fcrich, Stefano-Franscini-Platz 5, 8093, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034901004","display_name":"Andreas Wieser","orcid":"https://orcid.org/0000-0001-5804-2164"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Andreas Wieser","raw_affiliation_strings":["Institute of Geodesy & Photogrammetry, ETH Z\u00fcrich, Stefano-Franscini-Platz 5, 8093, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Institute of Geodesy & Photogrammetry, ETH Z\u00fcrich, Stefano-Franscini-Platz 5, 8093, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074651754"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":6.4127,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.97520494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9656999707221985,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.729736328125},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6478804349899292},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5419323444366455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5381503701210022},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.5331429839134216},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5194882154464722},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.48790428042411804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4759224057197571},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44269439578056335},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4394153952598572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40219974517822266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13617780804634094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1301235854625702}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729736328125},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6478804349899292},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5419323444366455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5381503701210022},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.5331429839134216},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5194882154464722},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.48790428042411804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4759224057197571},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44269439578056335},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4394153952598572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40219974517822266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13617780804634094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1301235854625702},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-71470-7_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-71470-7_4","pdf_url":null,"source":{"id":"https://openalex.org/S4210190054","display_name":"Lecture notes in geoinformation and cartography","issn_l":"1863-2246","issn":["1863-2246","1863-2351"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Geoinformation and Cartography","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1968102789","https://openalex.org/W1994961964","https://openalex.org/W2011502582","https://openalex.org/W2044912521","https://openalex.org/W2062956715","https://openalex.org/W2074621511","https://openalex.org/W2100595099","https://openalex.org/W2101234009","https://openalex.org/W2102078465","https://openalex.org/W2108126247","https://openalex.org/W2121304812","https://openalex.org/W2132755557","https://openalex.org/W2135046866","https://openalex.org/W2143243918","https://openalex.org/W2144723957","https://openalex.org/W2152167517","https://openalex.org/W2162708633","https://openalex.org/W2162785138","https://openalex.org/W2170102584","https://openalex.org/W2171785275","https://openalex.org/W2278572312","https://openalex.org/W2562162676","https://openalex.org/W2770760131","https://openalex.org/W2797602122","https://openalex.org/W2951037578","https://openalex.org/W3037000643","https://openalex.org/W3085112621","https://openalex.org/W3125319238","https://openalex.org/W4243863038","https://openalex.org/W6601375265"],"related_works":["https://openalex.org/W4254879869","https://openalex.org/W3022576529","https://openalex.org/W2628526247","https://openalex.org/W2596401011","https://openalex.org/W2913569734","https://openalex.org/W3127229356","https://openalex.org/W2000801317","https://openalex.org/W2294604808","https://openalex.org/W2702570413","https://openalex.org/W4379521144"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
