{"id":"https://openalex.org/W1986521783","doi":"https://doi.org/10.1007/s10618-008-0095-0","title":"Efficient algorithms for segmentation of item-set time series","display_name":"Efficient algorithms for segmentation of item-set time series","publication_year":2008,"publication_date":"2008-04-17","ids":{"openalex":"https://openalex.org/W1986521783","doi":"https://doi.org/10.1007/s10618-008-0095-0","mag":"1986521783"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-008-0095-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10618-008-0095-0","pdf_url":null,"source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-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/A5043942607","display_name":"Parvathi Chundi","orcid":null},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Parvathi Chundi","raw_affiliation_strings":["Computer Science Department, University of Nebraska at Omaha, Omaha, NE, 68106, USA","Computer Science Department, University of Nebraska at Omaha, Omaha, USA 68106"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Nebraska at Omaha, Omaha, NE, 68106, USA","institution_ids":["https://openalex.org/I122266389"]},{"raw_affiliation_string":"Computer Science Department, University of Nebraska at Omaha, Omaha, USA 68106","institution_ids":["https://openalex.org/I122266389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009388396","display_name":"Daniel J. Rosenkrantz","orcid":"https://orcid.org/0000-0002-7044-0197"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel J. Rosenkrantz","raw_affiliation_strings":["Computer Science Department, SUNY at Albany, Albany, NY, 12222, USA","Computer Science Department, SUNY at Albany, Albany, USA 12222#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, SUNY at Albany, Albany, NY, 12222, USA","institution_ids":["https://openalex.org/I392282"]},{"raw_affiliation_string":"Computer Science Department, SUNY at Albany, Albany, USA 12222#TAB#","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043942607"],"corresponding_institution_ids":["https://openalex.org/I122266389"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.7621,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70253993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":"3","first_page":"377","last_page":"401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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":0.9995999932289124,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9922000169754028,"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/segmentation","display_name":"Segmentation","score":0.6300629377365112},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6000704765319824},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.5784533023834229},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5362842082977295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5242788195610046},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5046933889389038},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48489147424697876},{"id":"https://openalex.org/keywords/set-function","display_name":"Set function","score":0.48062652349472046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4224848747253418},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4209756851196289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3416580259799957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3295474350452423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17825201153755188}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6300629377365112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6000704765319824},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5784533023834229},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5362842082977295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5242788195610046},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5046933889389038},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48489147424697876},{"id":"https://openalex.org/C15312841","wikidata":"https://www.wikidata.org/wiki/Q1657198","display_name":"Set function","level":3,"score":0.48062652349472046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4224848747253418},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4209756851196289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3416580259799957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3295474350452423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17825201153755188},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10618-008-0095-0","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10618-008-0095-0","pdf_url":null,"source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W42420395","https://openalex.org/W47048980","https://openalex.org/W151863654","https://openalex.org/W155995321","https://openalex.org/W1492452420","https://openalex.org/W1526685788","https://openalex.org/W1594712698","https://openalex.org/W1817653308","https://openalex.org/W1840640513","https://openalex.org/W1853995153","https://openalex.org/W1966728884","https://openalex.org/W1975946664","https://openalex.org/W1989037929","https://openalex.org/W2012557827","https://openalex.org/W2015397797","https://openalex.org/W2055800346","https://openalex.org/W2062223745","https://openalex.org/W2084257813","https://openalex.org/W2095427323","https://openalex.org/W2098957700","https://openalex.org/W2101005720","https://openalex.org/W2107633943","https://openalex.org/W2119939946","https://openalex.org/W2121497944","https://openalex.org/W2144585445","https://openalex.org/W2146544123","https://openalex.org/W2156026066","https://openalex.org/W3043710305","https://openalex.org/W3149291477","https://openalex.org/W4233117894","https://openalex.org/W4239766041"],"related_works":["https://openalex.org/W3010616741","https://openalex.org/W2807240930","https://openalex.org/W2150798635","https://openalex.org/W2080650820","https://openalex.org/W1964982224","https://openalex.org/W4319792277","https://openalex.org/W2354329565","https://openalex.org/W3078840574","https://openalex.org/W2386131991","https://openalex.org/W1578096924"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
