{"id":"https://openalex.org/W2000000640","doi":"https://doi.org/10.4304/jcp.4.3.208-214","title":"Stream Data Classification Using Improved Fisher Discriminate Analysis","display_name":"Stream Data Classification Using Improved Fisher Discriminate Analysis","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2000000640","doi":"https://doi.org/10.4304/jcp.4.3.208-214","mag":"2000000640"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.4.3.208-214","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.4.3.208-214","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-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/A5069988750","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0002-6468-5729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113748284","display_name":"Lingjun Zou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling-Jun Zou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101548392","display_name":"Li Tu","orcid":"https://orcid.org/0000-0003-3284-4083"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Tu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1089,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91765623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9970999956130981,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9970999956130981,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9883000254631042,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9847000241279602,"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/computer-science","display_name":"Computer science","score":0.5097026824951172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5087297558784485},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.42886680364608765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3654137849807739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5097026824951172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5087297558784485},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.42886680364608765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3654137849807739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.4.3.208-214","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.4.3.208-214","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1949687736","https://openalex.org/W1990079212","https://openalex.org/W2001474264","https://openalex.org/W2010657328","https://openalex.org/W2052570068","https://openalex.org/W2068714596","https://openalex.org/W2075457099","https://openalex.org/W2099665113","https://openalex.org/W2105628133","https://openalex.org/W2112452856","https://openalex.org/W2117487426","https://openalex.org/W2121647436","https://openalex.org/W2123297508","https://openalex.org/W2132520482","https://openalex.org/W2141681031"],"related_works":["https://openalex.org/W2156856390","https://openalex.org/W2160698598","https://openalex.org/W1921169094","https://openalex.org/W1973517862","https://openalex.org/W1983848850","https://openalex.org/W32502520","https://openalex.org/W2169064667","https://openalex.org/W2380666260","https://openalex.org/W4232979854","https://openalex.org/W1809065030"],"abstract_inverted_index":{"A":[0],"modified":[1],"Fisher":[2,28],"discriminate":[3,29],"analysis":[4],"method":[5,22],"for":[6,27,48,107],"classifying":[7,18],"stream":[8,19,52,108],"data":[9,53,94,109],"is":[10,42],"presented.":[11],"To":[12],"satisfy":[13],"the":[14,32,58,72,77,83,87,102],"realtime":[15],"demand":[16],"in":[17,51,65,86],"data,":[20],"this":[21],"defines":[23],"a":[24],"new":[25,33],"criterion":[26,34],"analysis.":[30],"Since":[31],"requires":[35],"less":[36],"computation":[37],"and":[38,45,81,92,105],"memory":[39],"space,":[40],"it":[41],"much":[43],"faster":[44],"more":[46],"suitable":[47],"online":[49],"processing":[50],"environment.":[54],"It":[55],"can":[56,100],"overcome":[57],"problem":[59],"of":[60],"singular":[61],"within-class":[62],"scatter":[63],"matrix":[64],"traditional":[66],"FDA.":[67],"Our":[68],"algorithm":[69,99],"speeds":[70],"up":[71],"mining":[73],"process":[74],"while":[75],"maintaining":[76],"high":[78],"classification":[79,103],"accuracy":[80,104],"capturing":[82],"up-todate":[84],"trends":[85],"stream.":[88],"Experiments":[89],"on":[90],"real":[91],"synthetic":[93],"sets":[95],"show":[96],"that":[97],"our":[98],"improve":[101],"speed":[106],"classification.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}