{"id":"https://openalex.org/W2120359376","doi":"https://doi.org/10.1109/ssdm.2001.938538","title":"2D TSA-tree: a wavelet-based approach to improve the efficiency of multi-level spatial data mining","display_name":"2D TSA-tree: a wavelet-based approach to improve the efficiency of multi-level spatial data mining","publication_year":2002,"publication_date":"2002-11-13","ids":{"openalex":"https://openalex.org/W2120359376","doi":"https://doi.org/10.1109/ssdm.2001.938538","mag":"2120359376"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssdm.2001.938538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5012068017","display_name":"Cyrus Shahabi","orcid":"https://orcid.org/0000-0001-9118-0681"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"funder","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Shahabi","raw_affiliation_strings":["Department of Computer Science University of Southern California Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science University of Southern California Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010696044","display_name":"Seokkyung Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"funder","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Seokkyung Chung","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041193229","display_name":"Maytham Safar","orcid":"https://orcid.org/0000-0002-0007-3141"},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"funder","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"M. Safar","raw_affiliation_strings":["Kuwait University"],"affiliations":[{"raw_affiliation_string":"Kuwait University","institution_ids":["https://openalex.org/I36721946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034091509","display_name":"G. Hajj","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Hajj","raw_affiliation_strings":["Jet Propulsion laboratory"],"affiliations":[{"raw_affiliation_string":"Jet Propulsion laboratory","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.346,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":11,"citation_normalized_percentile":{"value":0.799571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"68"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.999,"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":0.999,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9964,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9836,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6970713},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5079523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8553148},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.72515374},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6970713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6805339},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5079523},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12831974},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssdm.2001.938538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1499049447","https://openalex.org/W1512748702","https://openalex.org/W1587157435","https://openalex.org/W1606846851","https://openalex.org/W1633659671","https://openalex.org/W1978572064","https://openalex.org/W1998244781","https://openalex.org/W2042591571","https://openalex.org/W2053062040","https://openalex.org/W2083888736","https://openalex.org/W2098914003","https://openalex.org/W2132984323","https://openalex.org/W2148039410","https://openalex.org/W2149562358","https://openalex.org/W2166368653","https://openalex.org/W2752885492","https://openalex.org/W4234667859"],"related_works":["https://openalex.org/W4396701345","https://openalex.org/W4391375266","https://openalex.org/W4313163053","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2389214306","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2045155990","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Due":[0],"to":[1,17,75,105,121,125],"the":[2,6,21,33,107,123,140,160,164],"large":[3],"amount":[4],"of":[5,35,49,113,159,166,194],"collected":[7],"scientific":[8],"data,":[9],"it":[10],"is":[11,143],"becoming":[12],"increasingly":[13],"difficult":[14],"for":[15,96,129],"scientists":[16],"comprehend":[18],"and":[19,40,71,110,177,190,197],"interpret":[20],"available":[22],"data.":[23,179],"Moreover":[24],"typical":[25],"queries":[26],"on":[27,81,150],"these":[28],"data":[29,58,66,83,115],"sets":[30],"are":[31],"in":[32,46,117,119,192],"nature":[34],"identifying":[36,53],"(or":[37,132],"visualizing)":[38],"trends":[39],"surprises":[41],"at":[42,84,135],"a":[43,56,63,114,155],"selected":[44],"sub-region":[45,97],"multiple":[47],"levels":[48],"abstraction":[50],"rather":[51],"than":[52],"information":[54],"about":[55],"specific":[57,156],"point.":[59],"The":[60],"authors":[61],"propose":[62],"versatile":[64],"wavelet-based":[65],"structure,":[67],"2D":[68,90,100,146,173],"TSA-tree":[69,91,101,148,174],"(Trend":[70],"Surprise":[72],"Abstractions":[73],"Tree),":[74],"enable":[76],"efficient":[77],"multi-level":[78],"trend":[79],"detection":[80],"spatial":[82],"different":[85],"levels.":[86],"We":[87],"show":[88,182],"how":[89],"can":[92,102],"be":[93,103],"utilized":[94,104],"efficiently":[95],"selections.":[98],"Moreover,":[99],"precompute":[106],"reconstruction":[108],"error":[109],"retrieval":[111],"time":[112,131],"subset":[116,158],"advance":[118],"order":[120],"allow":[122],"user":[124],"trade":[126],"off":[127],"accuracy":[128],"response":[130],"vice":[133],"versa)":[134],"query":[136],"time.":[137],"Finally,":[138],"when":[139],"storage":[141,151],"space":[142],"limited,":[144],"our":[145,167,172,184],"Optimal":[147],"saves":[149],"by":[152],"storing":[153],"only":[154],"optimal":[157],"tree.":[161],"To":[162],"demonstrate":[163],"effectiveness":[165],"proposed":[168],"methods,":[169],"we":[170],"evaluated":[171],"using":[175],"real":[176],"synthetic":[178],"Our":[180],"results":[181],"that":[183],"method":[185],"outperformed":[186],"other":[187],"methods":[188],"(DFT":[189],"SVD)":[191],"terms":[193],"accuracy,":[195],"complexity":[196],"scalability.":[198]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2120359376","counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-03-21T12:01:00.935501","created_date":"2016-06-24"}