{"id":"https://openalex.org/W2032074700","doi":"https://doi.org/10.1145/2345396.2345417","title":"Identification of optimal cluster centroid of multi-variable functions for clustering concept-drift categorical data","display_name":"Identification of optimal cluster centroid of multi-variable functions for clustering concept-drift categorical data","publication_year":2012,"publication_date":"2012-08-03","ids":{"openalex":"https://openalex.org/W2032074700","doi":"https://doi.org/10.1145/2345396.2345417","mag":"2032074700"},"language":"en","primary_location":{"id":"doi:10.1145/2345396.2345417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Computing, Communications and Informatics","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/A5018968297","display_name":"K. Reddy Madhavi","orcid":"https://orcid.org/0000-0002-0826-054X"},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Reddy Madhavi","raw_affiliation_strings":["JNTUA, Ananthpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JNTUA, Ananthpur","institution_ids":["https://openalex.org/I52035452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025056144","display_name":"A. Vinaya Babu","orcid":"https://orcid.org/0000-0002-7507-3007"},"institutions":[{"id":"https://openalex.org/I10874241","display_name":"Jawaharlal Nehru Technological University, Hyderabad","ror":"https://ror.org/002tchr49","country_code":"IN","type":"education","lineage":["https://openalex.org/I10874241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Vinaya Babu","raw_affiliation_strings":["JNTUHCE, Hyderabad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JNTUHCE, Hyderabad","institution_ids":["https://openalex.org/I10874241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111904425","display_name":"A. Anand Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Anand Rao","raw_affiliation_strings":["JNTUACE, Ananthpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JNTUACE, Ananthpur","institution_ids":["https://openalex.org/I52035452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104191844","display_name":"Sukhwant Raju","orcid":null},"institutions":[{"id":"https://openalex.org/I10874241","display_name":"Jawaharlal Nehru Technological University, Hyderabad","ror":"https://ror.org/002tchr49","country_code":"IN","type":"education","lineage":["https://openalex.org/I10874241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. V. N. Raju","raw_affiliation_strings":["JNTUH, Hyderabad","JNTUH, HYDERABAD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JNTUH, Hyderabad","institution_ids":["https://openalex.org/I10874241"]},{"raw_affiliation_string":"JNTUH, HYDERABAD","institution_ids":["https://openalex.org/I10874241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8846,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79429711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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/T11106","display_name":"Data Management and Algorithms","score":0.9973000288009644,"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/centroid","display_name":"Centroid","score":0.9091455340385437},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8209229707717896},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6734024882316589},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6383076906204224},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.599760115146637},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5924140214920044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5880708694458008},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5699835419654846},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.4491252899169922},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3596043884754181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3530249297618866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33933934569358826},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.29443347454071045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28534045815467834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20482903718948364}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.9091455340385437},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8209229707717896},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6734024882316589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6383076906204224},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.599760115146637},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5924140214920044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5880708694458008},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5699835419654846},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.4491252899169922},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3596043884754181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3530249297618866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33933934569358826},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.29443347454071045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28534045815467834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20482903718948364},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2345396.2345417","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Computing, Communications and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W24585929","https://openalex.org/W1501399145","https://openalex.org/W1519405745","https://openalex.org/W1992419399","https://openalex.org/W2011430131","https://openalex.org/W2041916267","https://openalex.org/W2120887445","https://openalex.org/W2140190241","https://openalex.org/W2151634982","https://openalex.org/W2156576125","https://openalex.org/W2161160262","https://openalex.org/W2166704317","https://openalex.org/W2313104124"],"related_works":["https://openalex.org/W97068511","https://openalex.org/W3121946870","https://openalex.org/W94371014","https://openalex.org/W3038204311","https://openalex.org/W2981254835","https://openalex.org/W3156417170","https://openalex.org/W1547125942","https://openalex.org/W3161698838","https://openalex.org/W2367377022","https://openalex.org/W2625388113"],"abstract_inverted_index":{"Identification":[0],"of":[1,119,143],"useful":[2],"clusters":[3,54,68,172],"in":[4,11,16,33,85,99,111,128,136,154],"large":[5],"datasets":[6],"has":[7,82],"attracted":[8],"considerable":[9],"interest":[10],"clustering":[12,27,91,168],"process.":[13],"Since":[14],"data":[15,48,62,120,123],"the":[17,34,61,67,78,113,117,122,137,141,160],"World":[18],"Wide":[19],"Web":[20],"is":[21,77],"increasing":[22],"exponentially":[23],"that":[24,60,81],"affects":[25],"on":[26],"accuracy":[28],"and":[29,146,163],"decision":[30],"making,":[31],"change":[32],"concept":[35,41],"between":[36],"every":[37],"cluster":[38,74,157],"occurs":[39],"named":[40],"drift.":[42],"This":[43,150],"newly":[44],"added":[45],"time":[46],"based":[47],"must":[49,69],"be":[50,70],"assigned/labeled":[51],"into":[52],"generated":[53],"at":[55],"our":[56],"hand.":[57],"To":[58,102],"say":[59],"labeling":[63],"was":[64,134],"performed":[65],"well,":[66],"efficient.":[71],"Selecting":[72],"initial":[73],"center":[75],"(centroid)":[76],"key":[79],"factor":[80],"high":[83],"affection":[84],"generating":[86],"effective":[87],"clusters.":[88,101],"The":[89],"existing":[90,167],"methods":[92,110,153],"selects":[93],"centroid":[94,114,139,158],"randomly.":[95],"Different":[96],"centroids":[97],"results":[98],"different":[100,125],"avoid":[103],"this":[104],"random":[105],"selection,":[106],"we":[107],"are":[108],"proposing":[109],"selecting":[112],"by":[115,173],"analyzing":[116],"properties":[118,126],"since":[121],"with":[124],"exists":[127],"real":[129],"world.":[130],"Our":[131],"previous":[132],"work":[133],"concentrated":[135],"identification":[138],"for":[140,159],"functions":[142,162],"single":[144],"variable":[145,148],"two":[147],"functions.":[149],"paper":[151],"proposes":[152],"finding":[155],"optimal":[156],"multi-variable":[161],"then":[164],"apply":[165],"any":[166],"algorithm":[169],"to":[170],"generate":[171],"using":[174],"suitable":[175],"distance":[176],"measure.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":12},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
