{"id":"https://openalex.org/W2985578473","doi":"https://doi.org/10.1109/icca.2019.8899629","title":"Extraction Method of Alarm Transaction Based on Morphology Similarity Clustering","display_name":"Extraction Method of Alarm Transaction Based on Morphology Similarity Clustering","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2985578473","doi":"https://doi.org/10.1109/icca.2019.8899629","mag":"2985578473"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2019.8899629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2019.8899629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","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/A5025037345","display_name":"Shaoguang Liu","orcid":"https://orcid.org/0000-0001-7165-5627"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoguang Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111734837","display_name":"Jun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xie","raw_affiliation_strings":["School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079144156","display_name":"Zhicheng Zhao","orcid":"https://orcid.org/0000-0002-2761-7399"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Zhao","raw_affiliation_strings":["School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018588825","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-4268-4004"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Communications State Grid Information & Telecommunication, Company of SEPC, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Department of Communications State Grid Information & Telecommunication, Company of SEPC, Taiyuan, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088751649","display_name":"Xin Yang","orcid":"https://orcid.org/0000-0001-6252-1061"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025037345"],"corresponding_institution_ids":["https://openalex.org/I46305995"],"apc_list":null,"apc_paid":null,"fwci":0.3391,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69749507,"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":"917","last_page":"921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.989799976348877,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.989799976348877,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9817000031471252,"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/sliding-window-protocol","display_name":"Sliding window protocol","score":0.8543365001678467},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.8339523077011108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6991093754768372},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6941449642181396},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6657187938690186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5985810160636902},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4753779470920563},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46219876408576965},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4576529264450073},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4435206353664398},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.44059571623802185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4058256149291992},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4009154438972473},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12727704644203186},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09192153811454773}],"concepts":[{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.8543365001678467},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.8339523077011108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6991093754768372},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6941449642181396},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6657187938690186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5985810160636902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4753779470920563},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46219876408576965},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4576529264450073},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4435206353664398},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.44059571623802185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4058256149291992},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4009154438972473},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12727704644203186},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09192153811454773},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2019.8899629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2019.8899629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Control and Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2164793063","https://openalex.org/W2534231508","https://openalex.org/W2586940813","https://openalex.org/W2598082741","https://openalex.org/W2603042710","https://openalex.org/W2610672301","https://openalex.org/W2613379186","https://openalex.org/W2624442249","https://openalex.org/W2704725813","https://openalex.org/W2762731806","https://openalex.org/W2766236446","https://openalex.org/W2767347747","https://openalex.org/W2783889344","https://openalex.org/W2785988368","https://openalex.org/W2791610379","https://openalex.org/W2793306692","https://openalex.org/W2799037877","https://openalex.org/W2890396445","https://openalex.org/W2895358780","https://openalex.org/W2896293701","https://openalex.org/W2897258210","https://openalex.org/W2899622522","https://openalex.org/W2901712325","https://openalex.org/W6735820745"],"related_works":["https://openalex.org/W2383887217","https://openalex.org/W3014558862","https://openalex.org/W2363110500","https://openalex.org/W2371295991","https://openalex.org/W2385369652","https://openalex.org/W2143226912","https://openalex.org/W2158759608","https://openalex.org/W2403667029","https://openalex.org/W2387697730","https://openalex.org/W2162723797"],"abstract_inverted_index":{"In":[0,78],"analysis":[1],"of":[2,28,42,54,110,119],"power":[3,55],"communication":[4,56],"alarm":[5,10,17,35,44,59,93,112],"correlation,":[6],"the":[7,25,58,92,98],"original":[8],"relational":[9],"data":[11,19],"needs":[12],"to":[13,90,117],"be":[14],"converted":[15],"into":[16,63,71],"transactional":[18],"for":[20],"mining":[21],"association":[22],"rule.":[23],"Considering":[24,51],"low":[26],"efficiency":[27,109],"traditional":[29],"sliding":[30,86],"time":[31,82,99],"window":[32,83,100],"that":[33,97],"extracts":[34],"transactions,":[36],"this":[37],"paper":[38],"proposes":[39],"a":[40],"method":[41,101],"extracting":[43,111],"transactions":[45,113],"based":[46,102],"on":[47,103],"morphological":[48,75,104],"similarity":[49,76,105],"clustering.":[50],"spatial":[52],"correlation":[53],"alarms,":[57],"sequence":[60,65],"is":[61,115],"divided":[62],"numerous":[64],"groups,":[66],"which":[67],"then":[68],"are":[69,88],"clustered":[70],"many":[72],"clusters":[73],"by":[74],"measure.":[77],"each":[79],"cluster,":[80],"different":[81],"width":[84],"and":[85,114],"step":[87],"set":[89],"extract":[91],"transactions.":[94],"Experiments":[95],"show":[96],"clustering":[106],"has":[107],"higher":[108],"beneficial":[116],"acquisition":[118],"root":[120],"fault.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}