{"id":"https://openalex.org/W2586666927","doi":"https://doi.org/10.1109/tencon.2016.7848724","title":"Data mining approach in seizure detection","display_name":"Data mining approach in seizure detection","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2586666927","doi":"https://doi.org/10.1109/tencon.2016.7848724","mag":"2586666927"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2016.7848724","doi":"https://doi.org/10.1109/tencon.2016.7848724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2016.7848724","pdf_url":null,"source":{"id":"https://openalex.org/S4363607986","display_name":"IEEE Region 10 Conference (TENCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5013481282","display_name":"Mohammad Khubeb Siddiqui","orcid":"https://orcid.org/0000-0001-6699-6216","observed_orcids":["https://orcid.org/0000-0001-6699-6216"]},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad Khubeb Siddiqui","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015246388","display_name":"Md Zahidul Islam","orcid":"https://orcid.org/0000-0002-4868-4945","observed_orcids":["https://orcid.org/0000-0002-4868-4945","https://orcid.org/0000-0003-2595-7573"]},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Zahidul Islam","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia","institution_ids":["https://openalex.org/I153230381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153230381"],"apc_list":null,"apc_paid":null,"fwci":1.0618,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70157294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3579","last_page":"3583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.007799999788403511,"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/T10094","display_name":"Epilepsy research and treatment","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/seizure-detection","display_name":"seizure detection","score":0.9950000047683716},{"id":"https://openalex.org/keywords/electrocorticography","display_name":"electrocorticography","score":0.9120000004768372},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.5009999871253967},{"id":"https://openalex.org/keywords/decision-forest","display_name":"decision forest","score":0.6779999732971191},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.5360000133514404},{"id":"https://openalex.org/keywords/time-series-pattern-mining","display_name":"time series pattern mining","score":0.546999990940094},{"id":"https://openalex.org/keywords/epilepsy","display_name":"epilepsy","score":0.37299999594688416}],"concepts":[{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.7907713651657104},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6952638626098633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6540993452072144},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6220273375511169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164951324462891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.576571524143219},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5713691115379333},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5617912411689758},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.43787631392478943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38211262226104736},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1575208306312561},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10959729552268982}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2016.7848724","doi":"https://doi.org/10.1109/tencon.2016.7848724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2016.7848724","pdf_url":null,"source":{"id":"https://openalex.org/S4363607986","display_name":"IEEE Region 10 Conference (TENCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.46810001134872437}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W102510005","https://openalex.org/W1483212964","https://openalex.org/W1973525977","https://openalex.org/W1982863095","https://openalex.org/W2019664149","https://openalex.org/W2022437153","https://openalex.org/W2062593995","https://openalex.org/W2073182108","https://openalex.org/W2101678986","https://openalex.org/W2106277748","https://openalex.org/W2106595237","https://openalex.org/W2113242816","https://openalex.org/W2127888717","https://openalex.org/W2138190513","https://openalex.org/W2143776609","https://openalex.org/W2156480002","https://openalex.org/W2172268126"],"related_works":["https://openalex.org/W2791012434","https://openalex.org/W2913331764","https://openalex.org/W2532941723","https://openalex.org/W2924533679","https://openalex.org/W1846376754","https://openalex.org/W3030870789","https://openalex.org/W7075596707","https://openalex.org/W7127376652","https://openalex.org/W3162847159","https://openalex.org/W7131066510"],"abstract_inverted_index":{"Extracting":[0],"the":[1,11,69,74,85,90,98,105,122,132,144,151,160,169],"meaningful":[2],"patterns":[3],"from":[4,20],"time":[5,21],"series":[6,22],"dataset":[7,39],"is":[8,40,52,56,63],"one":[9,51],"of":[10,16,41,71,76,92,111,153,172],"interesting":[12],"and":[13,45,88,124,129,156],"challenging":[14],"task":[15],"data":[17],"mining":[18],"especially":[19],"brain":[23,99],"dataset.":[24],"A":[25],"seizure":[26,86,123,142,161],"can":[27],"be":[28],"detected":[29],"either":[30],"by":[31],"EEG":[32],"or":[33],"ECoG":[34,38],"signal.":[35],"The":[36,60,135],"applied":[37],"sample":[42],"size":[43],"400Hz":[44],"it":[46],"has":[47],"two":[48,126],"class":[49],"values":[50,147,165],"ictal":[53],"(seizure)":[54],"another":[55],"pre-ictal":[57],"(before":[58],"seizure).":[59],"previous":[61],"study":[62],"not":[64],"much":[65],"sufficient":[66],"to":[67,120],"classify":[68,84],"state":[70],"seizures":[72],"on":[73,97],"ground":[75],"classifier":[77],"decision":[78,112],"forest.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"states":[87],"motivates":[89],"importance":[91],"electrodes":[93,116],"which":[94],"are":[95,117,131,148,166],"placed":[96],"surface.":[100],"Our":[101],"analysis":[102],"suggests":[103],"through":[104],"systematic":[106],"forest":[107,113],"(SysFor)":[108],"a":[109],"type":[110],"that":[114],"some":[115],"more":[118],"fruitful":[119],"detect":[121,141,159],"found":[125],"features":[127],"`min'":[128],"`max'":[130],"best":[133],"features.":[134],"pattern":[136],"also":[137],"reveals":[138],"three":[139],"trees":[140,158],"if":[143,162],"root":[145,163,173],"attribute":[146,164],"less":[149],"than":[150,168],"value":[152,171],"selected":[154,170],"attribute,":[155],"seven":[157],"greater":[167],"attribute.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2017-02-17T00:00:00"}
