{"id":"https://openalex.org/W2970346308","doi":"https://doi.org/10.1587/transinf.2018edp7339","title":"Anomaly Prediction Based on Machine Learning for Memory-Constrained Devices","display_name":"Anomaly Prediction Based on Machine Learning for Memory-Constrained Devices","publication_year":2019,"publication_date":"2019-08-31","ids":{"openalex":"https://openalex.org/W2970346308","doi":"https://doi.org/10.1587/transinf.2018edp7339","mag":"2970346308"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2018edp7339","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2018edp7339","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/9/E102.D_2018EDP7339/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/9/E102.D_2018EDP7339/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076880513","display_name":"Yuto Kitagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuto KITAGAWA","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073806128","display_name":"Tasuku Ishigooka","orcid":"https://orcid.org/0009-0008-0795-7370"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tasuku ISHIGOOKA","raw_affiliation_strings":["Center for Technology Innovation - Controls, Research and Development Group, Hitachi Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Technology Innovation - Controls, Research and Development Group, Hitachi Ltd","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022413623","display_name":"Takuya Azumi","orcid":"https://orcid.org/0000-0003-0767-4086"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya AZUMI","raw_affiliation_strings":["Graduate School of Science and Engineering, Saitama University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saitama University","institution_ids":["https://openalex.org/I72253084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.09770306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"E102.D","issue":"9","first_page":"1797","last_page":"1807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9977999925613403,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9939000010490417,"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/cluster-analysis","display_name":"Cluster analysis","score":0.9213705658912659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7829421758651733},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6769067049026489},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.6371352672576904},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5789148211479187},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5760198831558228},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5717705488204956},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5652813911437988},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5496221780776978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4208943247795105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41641050577163696},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.41587430238723755}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9213705658912659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829421758651733},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6769067049026489},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.6371352672576904},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5789148211479187},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5760198831558228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5717705488204956},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5652813911437988},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5496221780776978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4208943247795105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41641050577163696},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.41587430238723755},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2018edp7339","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2018edp7339","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/9/E102.D_2018EDP7339/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2018edp7339","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2018edp7339","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E102.D/9/E102.D_2018EDP7339/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970346308.pdf","grobid_xml":"https://content.openalex.org/works/W2970346308.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1861929079","https://openalex.org/W1977556410","https://openalex.org/W2002114286","https://openalex.org/W2097627964","https://openalex.org/W2122646361","https://openalex.org/W2134274113","https://openalex.org/W2137130182","https://openalex.org/W2150593711","https://openalex.org/W2277255517","https://openalex.org/W2281706614","https://openalex.org/W2295174985","https://openalex.org/W2343841005","https://openalex.org/W2395916081","https://openalex.org/W2516497858","https://openalex.org/W2528640440","https://openalex.org/W2530303114","https://openalex.org/W2555541806","https://openalex.org/W2592124219","https://openalex.org/W2782941489"],"related_works":["https://openalex.org/W2892323093","https://openalex.org/W2117838073","https://openalex.org/W2361242132","https://openalex.org/W3071522575","https://openalex.org/W3140018618","https://openalex.org/W2353443653","https://openalex.org/W2374506950","https://openalex.org/W2556490192","https://openalex.org/W2596632494","https://openalex.org/W4312412183"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"anomaly":[4,100,118,136,144,176],"prediction":[5,101,119,145,177],"method":[6,80,94,146],"based":[7,82],"on":[8,83],"k-means":[9,29,50,67,78,85,92,114,153,161,170,181],"clustering":[10,39,51,68,71,79,86,93,115,154,162,171],"that":[11,117,141],"assumes":[12],"embedded":[13,57],"devices":[14,58],"with":[15,59,129],"memory":[16,46,61,124,165],"constraints.":[17],"With":[18],"this":[19],"method,":[20,52],"by":[21,122],"checking":[22],"control":[23,133],"system":[24,134],"behavior":[25],"in":[26,45],"detail":[27],"using":[28],"clustering,":[30],"it":[31],"is":[32,40,54,81,120],"possible":[33],"to":[34,48,69,109,159],"predict":[35,148,156],"anomalies.":[36],"However,":[37],"continuing":[38],"difficult":[41],"because":[42],"data":[43,97,105,131],"accumulate":[44],"similar":[47,158],"existing":[49,179],"which":[53],"problematic":[55],"for":[56,72,99,135],"low":[60],"capacity.":[62],"Therefore,":[63],"we":[64],"also":[65],"propose":[66],"continue":[70],"infinite":[73],"stream":[74],"data.":[75],"The":[76,90],"proposed":[77,91,113,143,152,169],"online":[84,180],"of":[87,132,175],"sequential":[88],"processing.":[89],"only":[95],"stores":[96],"required":[98],"and":[102,150],"releases":[103],"other":[104],"from":[106],"memory.":[107],"Due":[108],"these":[110],"characteristics,":[111],"the":[112,142,151,168],"realizes":[116],"performed":[121,128],"reducing":[123,164],"consumption.":[125,166],"Experiments":[126],"were":[127],"actual":[130],"prediction.":[137],"Experimental":[138],"results":[139,174],"show":[140],"can":[147,155],"anomaly,":[149],"anomalies":[157],"standard":[160],"while":[163],"Moreover,":[167],"demonstrates":[172],"better":[173],"than":[178],"clustering.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
