{"id":"https://openalex.org/W2097187523","doi":"https://doi.org/10.1007/978-3-642-30217-6_48","title":"A Semi-supervised Incremental Clustering Algorithm for Streaming Data","display_name":"A Semi-supervised Incremental Clustering Algorithm for Streaming Data","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2097187523","doi":"https://doi.org/10.1007/978-3-642-30217-6_48","mag":"2097187523"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-30217-6_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-30217-6_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5027890537","display_name":"Maria Halkidi","orcid":"https://orcid.org/0000-0001-6282-824X"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Maria Halkidi","raw_affiliation_strings":["Dept of Digital Systems, University of Piraeus, Greece","Department of Digital Systems, University of Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"Dept of Digital Systems, University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]},{"raw_affiliation_string":"Department of Digital Systems, University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083456364","display_name":"Myra Spiliopoulou","orcid":"https://orcid.org/0000-0002-1828-5759"},"institutions":[{"id":"https://openalex.org/I4210138551","display_name":"University Hospital Magdeburg","ror":"https://ror.org/03m04df46","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210138551"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Myra Spiliopoulou","raw_affiliation_strings":["Faculty of Computer Science, Magdeburg University, Germany","Faculty of Computer Science, Magdeburg University, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Magdeburg University, Germany","institution_ids":["https://openalex.org/I4210138551"]},{"raw_affiliation_string":"Faculty of Computer Science, Magdeburg University, Germany#TAB#","institution_ids":["https://openalex.org/I4210138551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062085837","display_name":"Aikaterini Pavlou","orcid":null},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aikaterini Pavlou","raw_affiliation_strings":["Athens University of Economics and Business, Greece","Athens University of Economics and Business , Greece"],"affiliations":[{"raw_affiliation_string":"Athens University of Economics and Business, Greece","institution_ids":["https://openalex.org/I73142707"]},{"raw_affiliation_string":"Athens University of Economics and Business , Greece","institution_ids":["https://openalex.org/I73142707"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027890537"],"corresponding_institution_ids":["https://openalex.org/I154757721"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.5859,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85028194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"578","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998000264167786,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","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":0.9975000023841858,"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":0.8644366264343262},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7599122524261475},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7126376032829285},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.6365907788276672},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.6000428199768066},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5992494821548462},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5624156594276428},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5616285800933838},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5246805548667908},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4437800347805023},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.4266743063926697},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3639713525772095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3464793264865875},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3241528868675232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23777449131011963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07686114311218262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8644366264343262},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7599122524261475},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7126376032829285},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.6365907788276672},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.6000428199768066},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5992494821548462},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5624156594276428},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5616285800933838},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5246805548667908},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4437800347805023},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.4266743063926697},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3639713525772095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3464793264865875},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3241528868675232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23777449131011963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07686114311218262},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-30217-6_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-30217-6_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W119778216","https://openalex.org/W172773819","https://openalex.org/W182707955","https://openalex.org/W1500829711","https://openalex.org/W1576123718","https://openalex.org/W1636513602","https://openalex.org/W1673310716","https://openalex.org/W1848868872","https://openalex.org/W1854866626","https://openalex.org/W2096100960","https://openalex.org/W2102524069","https://openalex.org/W2107667794","https://openalex.org/W2117487426","https://openalex.org/W2134089414","https://openalex.org/W2139956879","https://openalex.org/W2142018073","https://openalex.org/W2170936641","https://openalex.org/W2475645889","https://openalex.org/W4230670993"],"related_works":["https://openalex.org/W4391129756","https://openalex.org/W2188840951","https://openalex.org/W3174049601","https://openalex.org/W3146523624","https://openalex.org/W2160785859","https://openalex.org/W2969974905","https://openalex.org/W2993362366","https://openalex.org/W2241871771","https://openalex.org/W2897883632","https://openalex.org/W2555816786"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}