{"id":"https://openalex.org/W1986404583","doi":"https://doi.org/10.1109/icacci.2013.6637462","title":"A new feature selection algorithm for stream Data Classification","display_name":"A new feature selection algorithm for stream Data Classification","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W1986404583","doi":"https://doi.org/10.1109/icacci.2013.6637462","mag":"1986404583"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2013.6637462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5055470014","display_name":"Kapil Wankhade","orcid":"https://orcid.org/0000-0002-3781-9082"},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kapil Wankhade","raw_affiliation_strings":["Department of IT, G. H. R. C. E, Nagpur, India","Dept. of IT, G.H. Raisoni Coll. of Eng., Nagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of IT, G. H. R. C. E, Nagpur, India","institution_ids":[]},{"raw_affiliation_string":"Dept. of IT, G.H. Raisoni Coll. of Eng., Nagpur, India","institution_ids":["https://openalex.org/I4210146358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109963366","display_name":"Dhiraj Rane","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146358","display_name":"Raisoni Group of Institutions","ror":"https://ror.org/03dp11s58","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210146358"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhiraj Rane","raw_affiliation_strings":["Department of CSE, G. H. R. C. E, Nagpur, India","Dept. of IT, G.H. Raisoni Coll. of Eng., Nagpur, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, G. H. R. C. E, Nagpur, India","institution_ids":[]},{"raw_affiliation_string":"Dept. of IT, G.H. Raisoni Coll. of Eng., Nagpur, India","institution_ids":["https://openalex.org/I4210146358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069070519","display_name":"Ravindra C. Thool","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravindra Thool","raw_affiliation_strings":["Department of IT, S. G. G. S. I. E. T., Nanded, India","Dept. of IT, S.G.G.S.I.E.T., Nanded, India"],"affiliations":[{"raw_affiliation_string":"Department of IT, S. G. G. S. I. E. T., Nanded, India","institution_ids":["https://openalex.org/I4210093989"]},{"raw_affiliation_string":"Dept. of IT, S.G.G.S.I.E.T., Nanded, India","institution_ids":["https://openalex.org/I4210093989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055470014"],"corresponding_institution_ids":["https://openalex.org/I4210146358"],"apc_list":null,"apc_paid":null,"fwci":0.505,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70702086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7496","issue":null,"first_page":"1843","last_page":"1848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7816793918609619},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7775413990020752},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7152513265609741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6092231273651123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5546221733093262},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5274947881698608},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5266803503036499},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.45447808504104614},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44369739294052124},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.414836585521698},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.414402574300766},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4141653776168823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3797282874584198},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3503165543079376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816793918609619},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7775413990020752},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7152513265609741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6092231273651123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5546221733093262},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5274947881698608},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5266803503036499},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.45447808504104614},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44369739294052124},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.414836585521698},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.414402574300766},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4141653776168823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3797282874584198},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3503165543079376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2013.6637462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2013.6637462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1537591915","https://openalex.org/W1991226672","https://openalex.org/W1992967985","https://openalex.org/W1996456077","https://openalex.org/W2001740831","https://openalex.org/W2021207691","https://openalex.org/W2034738721","https://openalex.org/W2052029852","https://openalex.org/W2058380590","https://openalex.org/W2059602744","https://openalex.org/W2099432314","https://openalex.org/W2105038775","https://openalex.org/W2110878552","https://openalex.org/W2135580958","https://openalex.org/W2147233688","https://openalex.org/W2156483112","https://openalex.org/W2161830857","https://openalex.org/W2162143693","https://openalex.org/W2166681635","https://openalex.org/W2169936690","https://openalex.org/W2170604930","https://openalex.org/W2539507472","https://openalex.org/W6663504850","https://openalex.org/W6674970987","https://openalex.org/W6683753752","https://openalex.org/W6685231865"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W2997083166","https://openalex.org/W1552543208","https://openalex.org/W2086424613","https://openalex.org/W2053515329","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W3037363193"],"abstract_inverted_index":{"Feature":[0,53],"selection,":[1],"the":[2,14,17,31,34,44,81],"process":[3],"of":[4,16,30,37,43],"removing":[5],"irrelevant":[6],"features":[7,38],"can":[8,56],"be":[9,20,57],"extremely":[10],"useful":[11],"in":[12,22,48],"reducing":[13,23],"dimensionality":[15],"data":[18],"to":[19],"processed,":[21],"execution":[24],"time":[25],"and":[26,67,84],"improving":[27],"predictive":[28],"accuracy":[29],"classifier.":[32,52],"Selecting":[33],"right":[35],"set":[36],"for":[39],"classification":[40],"is":[41,64,69,78],"one":[42],"most":[45],"important":[46],"problems":[47],"designing":[49],"a":[50],"good":[51],"selection":[54],"methods":[55,66],"decomposed":[58],"into":[59],"two":[60],"broad":[61],"classes.":[62],"One":[63],"Filter":[65],"another":[68],"Wrapper":[70],"method.":[71],"This":[72],"paper":[73],"proposes":[74],"hybrid":[75],"method":[76],"which":[77],"based":[79],"on":[80],"Mutual":[82],"Information":[83],"Genetic":[85],"Algorithm.":[86]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
