{"id":"https://openalex.org/W2093010960","doi":"https://doi.org/10.1145/1458082.1458162","title":"Clustered subset selection and its applications on it service metrics","display_name":"Clustered subset selection and its applications on it service metrics","publication_year":2008,"publication_date":"2008-10-26","ids":{"openalex":"https://openalex.org/W2093010960","doi":"https://doi.org/10.1145/1458082.1458162","mag":"2093010960"},"language":"en","primary_location":{"id":"doi:10.1145/1458082.1458162","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","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/A5010385482","display_name":"Christos Boutsidis","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christos Boutsidis","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084279065","display_name":"Jimeng Sun","orcid":"https://orcid.org/0000-0003-1512-6426"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jimeng Sun","raw_affiliation_strings":["IBM T.J. Watson Lab, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Lab, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024234032","display_name":"Nikos Anerousis","orcid":"https://orcid.org/0000-0001-9993-9699"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikos Anerousis","raw_affiliation_strings":["IBM T.J. Watson Lab, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Lab, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010385482"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":1.7562,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87767775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"599","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9923999905586243,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8074397444725037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7628873586654663},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7261909246444702},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6775867342948914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6273369193077087},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.477825403213501},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3766312003135681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2894705533981323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13632732629776}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8074397444725037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628873586654663},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7261909246444702},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6775867342948914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6273369193077087},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.477825403213501},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3766312003135681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2894705533981323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13632732629776},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1458082.1458162","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458082.1458162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.2685","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.2685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.boutsidis.org/Boutsidis_CIKM_08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W55303285","https://openalex.org/W197294782","https://openalex.org/W658559791","https://openalex.org/W1540310433","https://openalex.org/W1551417731","https://openalex.org/W1790954942","https://openalex.org/W1970576574","https://openalex.org/W1979750072","https://openalex.org/W1981202432","https://openalex.org/W1981943156","https://openalex.org/W1985036386","https://openalex.org/W1986583171","https://openalex.org/W2004951603","https://openalex.org/W2007266146","https://openalex.org/W2008205484","https://openalex.org/W2008751576","https://openalex.org/W2009193081","https://openalex.org/W2010657328","https://openalex.org/W2016182223","https://openalex.org/W2021604182","https://openalex.org/W2044610104","https://openalex.org/W2049507888","https://openalex.org/W2056029990","https://openalex.org/W2063392856","https://openalex.org/W2066636486","https://openalex.org/W2084417734","https://openalex.org/W2088028877","https://openalex.org/W2092239883","https://openalex.org/W2103318769","https://openalex.org/W2105111377","https://openalex.org/W2119233169","https://openalex.org/W2130891992","https://openalex.org/W2132582398","https://openalex.org/W2146101680","https://openalex.org/W2158382689","https://openalex.org/W2165102171","https://openalex.org/W2170238574","https://openalex.org/W2798909945","https://openalex.org/W2997855126","https://openalex.org/W3046452920","https://openalex.org/W3150353689","https://openalex.org/W4233654647"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"the":[2,30],"enormous":[3],"amounts":[4],"of":[5,43,72],"data":[6,41,45,60],"collected":[7],"in":[8],"a":[9,18,54,65,70],"large":[10],"IT":[11],"service":[12],"provider":[13],"organization,":[14],"this":[15],"paper":[16],"presents":[17],"method":[19,38,58],"for":[20,59],"quickly":[21],"and":[22,25,50,56,82,86,95],"automatically":[23],"summarizing":[24],"extracting":[26],"meaningful":[27],"insights":[28],"from":[29],"data.":[31],"Termed":[32],"Clustered":[33],"Subset":[34,87],"Selection":[35,88],"(CSS),":[36],"our":[37],"enables":[39],"program-guided":[40],"explorations":[42],"high-dimensional":[44],"matrices.":[46],"CSS":[47,73],"combines":[48],"clustering":[49,77],"subset":[51],"selection":[52],"into":[53],"coherent":[55],"intuitive":[57],"analysis.":[61],"In":[62],"addition":[63],"to":[64],"general":[66],"framework,":[67],"we":[68],"introduce":[69],"family":[71],"algorithms":[74],"with":[75],"different":[76],"components":[78,89],"such":[79,90],"as":[80,91],"k-means":[81],"Close-to-Rank-One":[83],"(CRO)":[84],"clustering,":[85],"best":[92],"rank-one":[93],"approximation":[94],"Rank-Revealing":[96],"QR":[97],"(RRQR)":[98],"decomposition.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
