{"id":"https://openalex.org/W2953439399","doi":"https://doi.org/10.1007/978-1-4020-9688-4_10","title":"Efficient Algorithms for Segmentation of Item-Set Time Series","display_name":"Efficient Algorithms for Segmentation of Item-Set Time Series","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2953439399","doi":"https://doi.org/10.1007/978-1-4020-9688-4_10","mag":"2953439399"},"language":"en","primary_location":{"id":"doi:10.1007/978-1-4020-9688-4_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4020-9688-4_10","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamental Problems in Computing","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/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"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Nebraska at Omaha, Omaha, NE, 68106, USA","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"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, SUNY at Albany, Albany, NY, 12222, USA","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":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29411765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"267","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9857000112533569,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9837999939918518,"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":0.6204008460044861},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5713487863540649},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.563267707824707},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5562573671340942},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5265764594078064},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5054469108581543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4938393235206604},{"id":"https://openalex.org/keywords/set-function","display_name":"Set function","score":0.4688844382762909},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4269736409187317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34376630187034607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3385310173034668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.323112428188324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17322015762329102}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6204008460044861},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5713487863540649},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.563267707824707},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5562573671340942},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5265764594078064},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5054469108581543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4938393235206604},{"id":"https://openalex.org/C15312841","wikidata":"https://www.wikidata.org/wiki/Q1657198","display_name":"Set function","level":3,"score":0.4688844382762909},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4269736409187317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34376630187034607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3385310173034668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.323112428188324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17322015762329102},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-1-4020-9688-4_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-1-4020-9688-4_10","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamental Problems in Computing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W42420395","https://openalex.org/W47048980","https://openalex.org/W1492452420","https://openalex.org/W1526685788","https://openalex.org/W1594712698","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/W2062223745","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/W3149291477","https://openalex.org/W4233117894","https://openalex.org/W6606194391","https://openalex.org/W6638295657"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2045342254","https://openalex.org/W2535231171","https://openalex.org/W2142182663","https://openalex.org/W1501331687","https://openalex.org/W4255512592","https://openalex.org/W2501551404","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}