{"id":"https://openalex.org/W2165733774","doi":"https://doi.org/10.1145/2689746.2689756","title":"Analyzing Wind Speed Data through Markov Chain based Profiling and Clustering","display_name":"Analyzing Wind Speed Data through Markov Chain based Profiling and Clustering","publication_year":2014,"publication_date":"2014-12-02","ids":{"openalex":"https://openalex.org/W2165733774","doi":"https://doi.org/10.1145/2689746.2689756","mag":"2165733774"},"language":"en","primary_location":{"id":"doi:10.1145/2689746.2689756","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2689746.2689756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis","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/A5030040261","display_name":"Jeremiah D. Deng","orcid":"https://orcid.org/0000-0003-3727-4403"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Jeremiah D. Deng","raw_affiliation_strings":["Dept. of Information Sci., University of Otago, Dunedin, New Zealand"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Sci., University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054561386","display_name":"Hsin-Shyuan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Hsin-Shyuan Lee","raw_affiliation_strings":["Dept. of Information Sci., University of Otago, Dunedin, New Zealand"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Sci., University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068403169","display_name":"Cameron McMillan","orcid":null},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Cameron McMillan","raw_affiliation_strings":["Dept. of Information Sci., University of Otago, Dunedin, New Zealand"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Sci., University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050899123","display_name":"Aysha P. Rimoni","orcid":null},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Aysha Rimoni","raw_affiliation_strings":["Dept. of Information Sci., University of Otago, Dunedin, New Zealand"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Sci., University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447276","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-5251-5810"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["Dept. of Information Sci., University of Otago, Dunedin, New Zealand"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Sci., University of Otago, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030040261"],"corresponding_institution_ids":["https://openalex.org/I80281795"],"apc_list":null,"apc_paid":null,"fwci":0.2093,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61759646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9919000267982483,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.8107600212097168},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7080103158950806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6668102145195007},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5678799748420715},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5489811897277832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5460718274116516},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.45047295093536377},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4315430223941803},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4214616119861603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24675628542900085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1481626033782959},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1227295994758606},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.10041865706443787},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07289284467697144}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8107600212097168},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7080103158950806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668102145195007},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5678799748420715},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5489811897277832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5460718274116516},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.45047295093536377},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4315430223941803},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4214616119861603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24675628542900085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1481626033782959},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1227295994758606},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10041865706443787},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07289284467697144},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2689746.2689756","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2689746.2689756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1528775006","https://openalex.org/W1963563131","https://openalex.org/W1971530915","https://openalex.org/W1987971958","https://openalex.org/W1989280111","https://openalex.org/W2010845440","https://openalex.org/W2012609801","https://openalex.org/W2028722364","https://openalex.org/W2041185225","https://openalex.org/W2070808135","https://openalex.org/W2079309933","https://openalex.org/W2097747115","https://openalex.org/W2105483285","https://openalex.org/W2121947440","https://openalex.org/W2122426175","https://openalex.org/W2132481658","https://openalex.org/W2163006955","https://openalex.org/W2165533158","https://openalex.org/W2171784016"],"related_works":["https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2084326697","https://openalex.org/W2027903142","https://openalex.org/W2354322608","https://openalex.org/W2804608325","https://openalex.org/W2077211377","https://openalex.org/W2413828414","https://openalex.org/W2186675474"],"abstract_inverted_index":{"Markov":[0,24,37,51],"chain":[1,25,52],"models":[2,53],"have":[3,65],"been":[4,66],"a":[5,17],"popular":[6],"tool":[7],"used":[8],"for":[9,54],"wind":[10,32,43],"speed":[11,33,44],"data":[12,45],"modelling.":[13],"This":[14],"paper":[15],"presents":[16],"novel":[18],"approach":[19],"of":[20,31],"assessing":[21],"similarity":[22],"between":[23],"models,":[26],"hence":[27],"enabling":[28],"cluster":[29],"analysis":[30],"profiles":[34],"based":[35],"on":[36],"chains.":[38],"We":[39],"experiment":[40],"with":[41],"real-world":[42],"and":[46,49,57],"construct":[47],"weekly":[48],"monthly":[50],"clustering,":[55],"visualization,":[56],"anomaly":[58],"detection.":[59],"Some":[60],"preliminary":[61],"but":[62],"promising":[63],"results":[64],"obtained.":[67]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}