{"id":"https://openalex.org/W2013777058","doi":"https://doi.org/10.1109/fskd.2012.6234008","title":"An effective data transformation approach for privacy preserving similarity measurement","display_name":"An effective data transformation approach for privacy preserving similarity measurement","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2013777058","doi":"https://doi.org/10.1109/fskd.2012.6234008","mag":"2013777058"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6234008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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/A5100653481","display_name":"Guorong Zhang","orcid":"https://orcid.org/0000-0003-1342-8578"},"institutions":[{"id":"https://openalex.org/I2800517447","display_name":"Guangzhou Academy of Fine Arts","ror":"https://ror.org/044my7157","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800517447"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo-rong Zhang","raw_affiliation_strings":["Computer Teaching and Research Section, Guangzhou Academy of Fine Arts, China","[Computer Teaching and Research Section, Guangzhou Academy of Fine Arts, China]"],"affiliations":[{"raw_affiliation_string":"Computer Teaching and Research Section, Guangzhou Academy of Fine Arts, China","institution_ids":["https://openalex.org/I2800517447"]},{"raw_affiliation_string":"[Computer Teaching and Research Section, Guangzhou Academy of Fine Arts, China]","institution_ids":["https://openalex.org/I2800517447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100653481"],"corresponding_institution_ids":["https://openalex.org/I2800517447"],"apc_list":null,"apc_paid":null,"fwci":0.2448,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52629211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"752","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9932000041007996,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9932000041007996,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9907000064849854,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9865000247955322,"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/transformation","display_name":"Transformation (genetics)","score":0.7820915579795837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316473126411438},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7231162786483765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6616218686103821},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5718681812286377},{"id":"https://openalex.org/keywords/matrix-similarity","display_name":"Matrix similarity","score":0.5364516377449036},{"id":"https://openalex.org/keywords/data-transformation","display_name":"Data transformation","score":0.48990100622177124},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43849119544029236},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4148997664451599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22212567925453186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2037038505077362},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16057172417640686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15905624628067017}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.7820915579795837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316473126411438},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7231162786483765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6616218686103821},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5718681812286377},{"id":"https://openalex.org/C39739852","wikidata":"https://www.wikidata.org/wiki/Q254491","display_name":"Matrix similarity","level":3,"score":0.5364516377449036},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.48990100622177124},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43849119544029236},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4148997664451599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22212567925453186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2037038505077362},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16057172417640686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15905624628067017},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2012.6234008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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":7,"referenced_works":["https://openalex.org/W1534285372","https://openalex.org/W2084812512","https://openalex.org/W2157774701","https://openalex.org/W2164384758","https://openalex.org/W2178073758","https://openalex.org/W6632236638","https://openalex.org/W6676454710"],"related_works":["https://openalex.org/W1492261612","https://openalex.org/W2012941781","https://openalex.org/W2148748166","https://openalex.org/W2374519217","https://openalex.org/W3158453421","https://openalex.org/W2601353981","https://openalex.org/W2383398300","https://openalex.org/W2159704347","https://openalex.org/W2393271921","https://openalex.org/W2089133691"],"abstract_inverted_index":{"Data":[0],"similarity":[1,29,101],"measurement":[2,32],"is":[3,13,62],"an":[4],"important":[5],"direction":[6],"for":[7,27],"data":[8,26,37],"mining":[9],"research.":[10],"This":[11],"paper":[12],"concentrated":[14],"on":[15],"the":[16,20,28,45,56,60,65,71,89],"issue":[17],"of":[18,30,58],"protecting":[19],"underlying":[21],"attribute":[22,46,93],"values":[23],"when":[24],"sharing":[25],"objects":[31],"and":[33,48,76,98],"proposes":[34],"a":[35],"simple":[36],"transformation":[38],"method:":[39],"Isometric-Based":[40],"Transformation":[41],"(IBT).":[42],"IBT":[43],"selects":[44],"pairs":[47],"then":[49,77],"distorts":[50],"them":[51],"with":[52],"Isometric":[53],"Transformation.":[54],"In":[55],"process":[57],"transformation,":[59],"goal":[61],"to":[63,69],"find":[64],"proper":[66],"angle":[67,81],"ranges":[68],"satisfy":[70],"least":[72],"privacy":[73,96],"preserving":[74],"requirement":[75],"randomly":[78],"choose":[79],"one":[80],"in":[82],"this":[83],"interval.":[84],"The":[85],"experiment":[86],"demonstrates":[87],"that":[88],"method":[90],"can":[91],"distort":[92],"values,":[94],"preserve":[95],"information":[97],"guarantee":[99],"valid":[100],"measurement.":[102]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
