{"id":"https://openalex.org/W2048118542","doi":"https://doi.org/10.1109/is.2012.6335133","title":"Nominal time series representation for the clustering problem","display_name":"Nominal time series representation for the clustering problem","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2048118542","doi":"https://doi.org/10.1109/is.2012.6335133","mag":"2048118542"},"language":"en","primary_location":{"id":"doi:10.1109/is.2012.6335133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2012.6335133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 6th IEEE INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS","raw_type":"proceedings-article"},"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/A5074955676","display_name":"Maciej Krawczak","orcid":"https://orcid.org/0000-0002-1761-1196"},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Maciej Krawczak","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","Systems Research Institute Polish Academy of Sciences, Warsaw, Poland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Systems Research Institute Polish Academy of Sciences, Warsaw, Poland#TAB#","institution_ids":["https://openalex.org/I99542240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023572649","display_name":"Gra\u017cyna Szkatu\u0142a","orcid":"https://orcid.org/0000-0002-5769-2699"},"institutions":[{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Grazyna Szkatula","raw_affiliation_strings":["Systems Research Institute Polish Academy of Sciences, Warsaw, Poland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Research Institute Polish Academy of Sciences, Warsaw, Poland#TAB#","institution_ids":["https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"182","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9345999956130981,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8404817581176758},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7310377359390259},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6225254535675049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6201211810112},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6187379360198975},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5273540616035461},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5230454206466675},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4724212884902954},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.46518248319625854},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4591270685195923},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.41964471340179443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3860075771808624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34086930751800537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3305503726005554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32810044288635254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22771915793418884},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05683225393295288}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8404817581176758},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7310377359390259},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6225254535675049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201211810112},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6187379360198975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5273540616035461},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5230454206466675},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4724212884902954},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.46518248319625854},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4591270685195923},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.41964471340179443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3860075771808624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34086930751800537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3305503726005554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32810044288635254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22771915793418884},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05683225393295288},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is.2012.6335133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2012.6335133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 6th IEEE INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2015397797","https://openalex.org/W2118136136","https://openalex.org/W2164274563","https://openalex.org/W2298199500","https://openalex.org/W2339378344","https://openalex.org/W6654038208","https://openalex.org/W6697721707","https://openalex.org/W6703538608"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W3200375535","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W2393816671","https://openalex.org/W3120229345","https://openalex.org/W2111119584","https://openalex.org/W3144143113","https://openalex.org/W3039964395","https://openalex.org/W2804957450"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,57],"considered":[4,81],"time":[5,19,44,55],"series":[6,20,45,56,86],"dimension":[7,17],"reduction":[8,15],"for":[9],"clustering":[10,76,87],"problem.":[11],"The":[12,40],"techniques":[13],"of":[14,16,18,26,29,43,54,61,67,84],"is":[21,46,80],"based":[22],"on":[23],"the":[24,30],"concept":[25],"envelopes,":[27],"aggregation":[28],"envelopes":[31],"and":[32],"extracting":[33],"essential":[34],"attributes.":[35,50],"Essential":[36],"attributes":[37],"were":[38],"nominalized.":[39],"reduced":[41],"representation":[42,53],"characterized":[47],"by":[48],"nominal":[49,77],"For":[51],"such":[52],"applied":[58],"a":[59,71,82],"definition":[60],"conditions":[62],"domination":[63],"within":[64],"each":[65],"pair":[66],"clusters.":[68],"We":[69],"proposed":[70],"hierarchical":[72],"agglomerative":[73],"approach":[74],"to":[75],"data.":[78],"There":[79],"case":[83],"data":[85],"problem":[88],"as":[89],"an":[90],"illustrative":[91],"example.":[92]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}