{"id":"https://openalex.org/W2213530782","doi":"https://doi.org/10.1109/bibe.2015.7367635","title":"Distribution skew-based binning: Towards mining highly discriminative patterns from EEG/EMG time series","display_name":"Distribution skew-based binning: Towards mining highly discriminative patterns from EEG/EMG time series","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2213530782","doi":"https://doi.org/10.1109/bibe.2015.7367635","mag":"2213530782"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2015.7367635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2015.7367635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","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/A5029746709","display_name":"Nicholas Skapura","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nicholas Skapura","raw_affiliation_strings":["The Department of Computer Science and Knoesis Center, Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"The Department of Computer Science and Knoesis Center, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104084428","display_name":"Guozhu Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guozhu Dong","raw_affiliation_strings":["The faculty of the Department of Computer Science and Knoesis Center, Wright State University, Dayton, OH, USA"],"affiliations":[{"raw_affiliation_string":"The faculty of the Department of Computer Science and Knoesis Center, Wright State University, Dayton, OH, USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029746709"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.2872,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57206157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9894000291824341,"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":0.9696999788284302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.7631872296333313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.749344527721405},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7391830682754517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6906564831733704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5845245718955994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5680224895477295},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5229759216308594},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4718618094921112},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4716958999633789},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2775091528892517}],"concepts":[{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.7631872296333313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749344527721405},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7391830682754517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6906564831733704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5845245718955994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5680224895477295},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5229759216308594},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4718618094921112},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4716958999633789},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2775091528892517},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2015.7367635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2015.7367635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W314658084","https://openalex.org/W1585743408","https://openalex.org/W1900747440","https://openalex.org/W2018434937","https://openalex.org/W2062000081","https://openalex.org/W2116396873","https://openalex.org/W2132927459","https://openalex.org/W2153635508","https://openalex.org/W2164001739","https://openalex.org/W3120740533","https://openalex.org/W6635046684","https://openalex.org/W7018119834"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2118640767","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Discovering":[0],"useful":[1,20],"patterns":[2,125],"in":[3,53,58,118,149,156],"medical":[4,26],"time":[5,47,129],"series":[6,48,130],"data":[7,24,49],"such":[8],"as":[9],"EEG":[10],"and":[11,25,30],"EMG":[12],"recordings":[13],"is":[14],"an":[15],"important":[16],"step":[17],"for":[18,31],"gaining":[19],"insights":[21],"into":[22,50],"the":[23,46,64,73,76,94,97,101,107,120],"problem":[27],"under":[28],"investigation,":[29],"building":[32],"accurate":[33],"classifiers.":[34],"However,":[35],"pattern":[36],"mining":[37],"algorithms":[38],"often":[39],"require":[40],"a":[41,51,69,81,146],"binning":[42,83,116,142,154],"step,":[43],"which":[44,92],"maps":[45],"representation":[52],"terms":[54],"of":[55,75,96,122],"discretized":[56],"values,":[57],"order":[59],"to":[60,105,133],"discover":[61],"patterns.":[62,78],"How":[63],"intervals":[65],"are":[66],"constructed":[67],"has":[68],"significant":[70],"impact":[71],"on":[72],"quality":[74,124],"mined":[77],"We":[79],"propose":[80],"novel":[82],"technique,":[84],"called":[85],"Distribution":[86],"Skew-based":[87],"Binning":[88],"(or":[89],"DS":[90,141],"Binning),":[91],"uses":[93],"distribution":[95],"classes":[98],"associated":[99],"with":[100],"numerical":[102],"attribute":[103],"values":[104],"construct":[106],"intervals.":[108],"Experiments":[109],"show":[110],"that":[111,140],"this":[112],"method":[113],"outperforms":[114],"existing":[115],"methods":[117,155],"facilitating":[119],"discovery":[121],"high":[123],"from":[126],"multivariate":[127],"EEG/EMG":[128],"data,":[131],"leading":[132],"higher":[134],"classification":[135,150],"accuracy.":[136],"Our":[137],"experiments":[138],"demonstrate":[139],"can":[143],"provide":[144],"approximately":[145],"5-10%":[147],"improvement":[148],"accuracy":[151],"over":[152],"other":[153],"multiple":[157],"scenarios.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
