{"id":"https://openalex.org/W2049851606","doi":"https://doi.org/10.1145/2628194.2628221","title":"Applications of spatio-temporal data mining to north platter river reservoirs","display_name":"Applications of spatio-temporal data mining to north platter river reservoirs","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2049851606","doi":"https://doi.org/10.1145/2628194.2628221","mag":"2049851606"},"language":"en","primary_location":{"id":"doi:10.1145/2628194.2628221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2628194.2628221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Database Engineering &amp; Applications Symposium on - IDEAS '14","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/A5085360234","display_name":"Abhinaya Mohan","orcid":null},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abhinaya Mohan","raw_affiliation_strings":["University of Nebraska, Lincoln","#N##TAB##TAB##TAB##TAB# University of Nebraska-Lincoln#N##TAB##TAB##TAB#"],"affiliations":[{"raw_affiliation_string":"University of Nebraska, Lincoln","institution_ids":["https://openalex.org/I114395901"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Nebraska-Lincoln#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082669031","display_name":"P\u00e9ter R\u00e9v\u00e9sz","orcid":"https://orcid.org/0000-0002-1145-1283"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Z. Revesz","raw_affiliation_strings":["University of Nebraska, Lincoln","#N##TAB##TAB##TAB##TAB# University of Nebraska-Lincoln#N##TAB##TAB##TAB#"],"affiliations":[{"raw_affiliation_string":"University of Nebraska, Lincoln","institution_ids":["https://openalex.org/I114395901"]},{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Nebraska-Lincoln#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085360234"],"corresponding_institution_ids":["https://openalex.org/I114395901"],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56001157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"306","last_page":"309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9927999973297119,"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":0.9927999973297119,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9725000262260437,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7131628394126892},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.685340404510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6746525764465332},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5618201494216919},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5446471571922302},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5141401886940002},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4409175217151642},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34490466117858887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31289058923721313}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7131628394126892},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.685340404510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6746525764465332},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5618201494216919},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5446471571922302},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5141401886940002},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4409175217151642},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34490466117858887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31289058923721313},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2628194.2628221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2628194.2628221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Database Engineering &amp; Applications Symposium on - IDEAS '14","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W37843706","https://openalex.org/W568320136","https://openalex.org/W1596887828","https://openalex.org/W1766171436","https://openalex.org/W1837913551","https://openalex.org/W1889060240","https://openalex.org/W1997651539","https://openalex.org/W2001805695","https://openalex.org/W2014793248","https://openalex.org/W2025889479","https://openalex.org/W2054299727","https://openalex.org/W2060028997","https://openalex.org/W2082484980","https://openalex.org/W2090667601","https://openalex.org/W2093873787","https://openalex.org/W2163412015","https://openalex.org/W2166205682","https://openalex.org/W2353823764"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W4380081032"],"abstract_inverted_index":{"We":[0,21],"propose":[1],"a":[2],"spatio-temporal":[3,14,24],"data":[4,25],"mining":[5,26],"method":[6,27],"based":[7],"on":[8],"support":[9],"vector":[10],"machines":[11],"regression":[12],"and":[13,45,50],"feature":[15],"reduction":[16],"by":[17],"principal":[18],"component":[19],"analysis.":[20],"apply":[22],"the":[23,34,37,53],"to":[28,48],"derive":[29],"an":[30],"automated":[31,42],"controller":[32,43],"for":[33],"reservoirs":[35],"of":[36],"North":[38],"Platte":[39],"River.":[40],"The":[41],"opens":[44],"closes":[46],"dams":[47],"efficiently":[49],"accurately":[51],"control":[52],"reservoirs'":[54],"water":[55],"levels.":[56]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
