{"id":"https://openalex.org/W2958649759","doi":"https://doi.org/10.1007/s00778-019-00551-2","title":"Efficient two-dimensional Haar$$^+$$ synopsis construction for the maximum absolute error measure","display_name":"Efficient two-dimensional Haar$$^+$$ synopsis construction for the maximum absolute error measure","publication_year":2019,"publication_date":"2019-07-16","ids":{"openalex":"https://openalex.org/W2958649759","doi":"https://doi.org/10.1007/s00778-019-00551-2","mag":"2958649759"},"language":"en","primary_location":{"id":"doi:10.1007/s00778-019-00551-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-019-00551-2","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-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/A5107196264","display_name":"Jinhyun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinhyun Kim","raw_affiliation_strings":["Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042408197","display_name":"Jun\u2010Ki Min","orcid":"https://orcid.org/0000-0003-3987-201X"},"institutions":[{"id":"https://openalex.org/I35886859","display_name":"Korea University of Technology and Education","ror":"https://ror.org/053nycv62","country_code":"KR","type":"education","lineage":["https://openalex.org/I35886859"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Ki Min","raw_affiliation_strings":["Korea University of Technology and Education, Cheonan, Korea"],"raw_orcid":"https://orcid.org/0000-0003-3987-201X","affiliations":[{"raw_affiliation_string":"Korea University of Technology and Education, Cheonan, Korea","institution_ids":["https://openalex.org/I35886859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049064713","display_name":"Kyuseok Shim","orcid":"https://orcid.org/0000-0001-8818-0963"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyuseok Shim","raw_affiliation_strings":["Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":0.1669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43691034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":"5","first_page":"675","last_page":"701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.996999979019165,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996999979019165,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/haar","display_name":"Haar","score":0.8770039081573486},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.6763667464256287},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6569938063621521},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5989434719085693},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5555510520935059},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.520793616771698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47580939531326294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43550994992256165},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3402537405490875},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.30560243129730225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30474337935447693},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2301105260848999},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.16319650411605835},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.14565733075141907},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1410670280456543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08222854137420654}],"concepts":[{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.8770039081573486},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.6763667464256287},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6569938063621521},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5989434719085693},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5555510520935059},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.520793616771698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47580939531326294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43550994992256165},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3402537405490875},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.30560243129730225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30474337935447693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2301105260848999},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.16319650411605835},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.14565733075141907},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1410670280456543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08222854137420654},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00778-019-00551-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-019-00551-2","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1489255272","https://openalex.org/W1524387703","https://openalex.org/W1581547316","https://openalex.org/W1586098254","https://openalex.org/W1983609110","https://openalex.org/W1987752353","https://openalex.org/W1998244781","https://openalex.org/W2006122313","https://openalex.org/W2021850646","https://openalex.org/W2046437776","https://openalex.org/W2053075747","https://openalex.org/W2063512404","https://openalex.org/W2064174652","https://openalex.org/W2067304854","https://openalex.org/W2080785753","https://openalex.org/W2089265984","https://openalex.org/W2104829661","https://openalex.org/W2106063091","https://openalex.org/W2106834095","https://openalex.org/W2110557355","https://openalex.org/W2112056262","https://openalex.org/W2120108467","https://openalex.org/W2134017119","https://openalex.org/W2135134185","https://openalex.org/W2136192098","https://openalex.org/W2138551708","https://openalex.org/W2150779766","https://openalex.org/W2153511931","https://openalex.org/W2164363676","https://openalex.org/W2219873312","https://openalex.org/W2294832208","https://openalex.org/W2441222368","https://openalex.org/W2561675875","https://openalex.org/W2766242626","https://openalex.org/W3041888157","https://openalex.org/W4241858315","https://openalex.org/W4254407475","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2766849256","https://openalex.org/W4361795924","https://openalex.org/W984746159","https://openalex.org/W1523827626","https://openalex.org/W1999916501","https://openalex.org/W4232769230","https://openalex.org/W2005569824","https://openalex.org/W111100742","https://openalex.org/W4239324723","https://openalex.org/W2043338154"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}