{"id":"https://openalex.org/W1573034164","doi":"https://doi.org/10.1007/978-3-642-13568-2_21","title":"Service Time Estimation with a Refinement Enhanced Hybrid Clustering Algorithm","display_name":"Service Time Estimation with a Refinement Enhanced Hybrid Clustering Algorithm","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1573034164","doi":"https://doi.org/10.1007/978-3-642-13568-2_21","mag":"1573034164"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-13568-2_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-13568-2_21","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":"conference-paper","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/A5062726854","display_name":"Paolo Cremonesi","orcid":"https://orcid.org/0000-0002-1253-8081"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Cremonesi","raw_affiliation_strings":["Politecnico di Milano, Milan, Italy","Politecnico di Milano, Milan (Italy)#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Politecnico di Milano, Milan (Italy)#TAB#","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074656869","display_name":"Kanika Dhyani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kanika Dhyani","raw_affiliation_strings":["Neptuny, s.r.l., Milan, Italy","Neptuny, s.r.l., Milan, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neptuny, s.r.l., Milan, Italy","institution_ids":[]},{"raw_affiliation_string":"Neptuny, s.r.l., Milan, Italy#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068792752","display_name":"Andrea Sansottera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Sansottera","raw_affiliation_strings":["Neptuny, s.r.l., Milan, Italy","Neptuny, s.r.l., Milan, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neptuny, s.r.l., Milan, Italy","institution_ids":[]},{"raw_affiliation_string":"Neptuny, s.r.l., Milan, Italy#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.3623,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.80344206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"291","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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":0.9940000176429749,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8370029926300049},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6775998473167419},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6377561688423157},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.535138726234436},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5185035467147827},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5136972665786743},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44015079736709595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37744230031967163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27269190549850464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2637401223182678},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10108312964439392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370029926300049},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6775998473167419},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6377561688423157},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.535138726234436},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5185035467147827},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5136972665786743},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44015079736709595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37744230031967163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27269190549850464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2637401223182678},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10108312964439392},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":2,"locations":[{"id":"doi:10.1007/978-3-642-13568-2_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-13568-2_21","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"},{"id":"pmh:oai:re.public.polimi.it:11311/691783","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/691783","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W83271465","https://openalex.org/W168241150","https://openalex.org/W175437267","https://openalex.org/W1554130893","https://openalex.org/W1673310716","https://openalex.org/W1980262437","https://openalex.org/W1994241229","https://openalex.org/W2023689787","https://openalex.org/W2027402472","https://openalex.org/W2036750674","https://openalex.org/W2045222793","https://openalex.org/W2052976402","https://openalex.org/W2063960597","https://openalex.org/W2065537939","https://openalex.org/W2065742895","https://openalex.org/W2071949631","https://openalex.org/W2098910307","https://openalex.org/W2108832093","https://openalex.org/W2152701363","https://openalex.org/W4242010931"],"related_works":["https://openalex.org/W3183283580","https://openalex.org/W2337929971","https://openalex.org/W4313069709","https://openalex.org/W4283741549","https://openalex.org/W4312609022","https://openalex.org/W2783242366","https://openalex.org/W2575052681","https://openalex.org/W4250175685","https://openalex.org/W2287462975","https://openalex.org/W1591209867"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}