{"id":"https://openalex.org/W2885062049","doi":"https://doi.org/10.1007/s41060-018-0146-6","title":"Classification and regression using augmented trees","display_name":"Classification and regression using augmented trees","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2885062049","doi":"https://doi.org/10.1007/s41060-018-0146-6","mag":"2885062049"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-018-0146-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-018-0146-6","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","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/A5056520559","display_name":"Rajiv Sambasivan","orcid":"https://orcid.org/0000-0002-4865-7218"},"institutions":[{"id":"https://openalex.org/I19149307","display_name":"Chennai Mathematical Institute","ror":"https://ror.org/04zp24820","country_code":"IN","type":"education","lineage":["https://openalex.org/I19149307"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rajiv Sambasivan","raw_affiliation_strings":["Department of Computer Science, Chennai Mathematical Institute, Kelambakkam, 603103, India"],"raw_orcid":"https://orcid.org/0000-0002-4865-7218","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chennai Mathematical Institute, Kelambakkam, 603103, India","institution_ids":["https://openalex.org/I19149307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076799471","display_name":"Sourish Das","orcid":"https://orcid.org/0000-0002-5354-6520"},"institutions":[{"id":"https://openalex.org/I19149307","display_name":"Chennai Mathematical Institute","ror":"https://ror.org/04zp24820","country_code":"IN","type":"education","lineage":["https://openalex.org/I19149307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sourish Das","raw_affiliation_strings":["Department of Mathematics, Chennai Mathematical Institute, Kelambakkam, 603103, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Chennai Mathematical Institute, Kelambakkam, 603103, India","institution_ids":["https://openalex.org/I19149307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056520559"],"corresponding_institution_ids":["https://openalex.org/I19149307"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.5077,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7386235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"4","first_page":"259","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9954000115394592,"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":0.9922000169754028,"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/overfitting","display_name":"Overfitting","score":0.8248830437660217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339156270027161},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6344411373138428},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.609530508518219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60931396484375},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.5805378556251526},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5020289421081543},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49265772104263306},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48679277300834656},{"id":"https://openalex.org/keywords/recursive-partitioning","display_name":"Recursive partitioning","score":0.48381203413009644},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4831399619579315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47585245966911316},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.46151942014694214},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4390580952167511},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.42524296045303345},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37449780106544495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1667216420173645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15101945400238037},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12625274062156677}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8248830437660217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339156270027161},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6344411373138428},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.609530508518219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60931396484375},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.5805378556251526},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5020289421081543},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49265772104263306},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48679277300834656},{"id":"https://openalex.org/C137345334","wikidata":"https://www.wikidata.org/wiki/Q7303350","display_name":"Recursive partitioning","level":2,"score":0.48381203413009644},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4831399619579315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47585245966911316},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.46151942014694214},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4390580952167511},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.42524296045303345},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37449780106544495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1667216420173645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15101945400238037},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12625274062156677},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41060-018-0146-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s41060-018-0146-6","pdf_url":null,"source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6000000238418579,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306108","display_name":"U.S. Department of Transportation","ror":"https://ror.org/02xfw2e90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W28151559","https://openalex.org/W146817024","https://openalex.org/W148291325","https://openalex.org/W987144911","https://openalex.org/W1480376833","https://openalex.org/W1503303035","https://openalex.org/W1559060276","https://openalex.org/W1564947197","https://openalex.org/W1594031697","https://openalex.org/W1979967019","https://openalex.org/W1981457167","https://openalex.org/W1996796871","https://openalex.org/W2012662444","https://openalex.org/W2015367841","https://openalex.org/W2029851396","https://openalex.org/W2031823405","https://openalex.org/W2056132907","https://openalex.org/W2087347434","https://openalex.org/W2091825929","https://openalex.org/W2092271904","https://openalex.org/W2098021754","https://openalex.org/W2099201756","https://openalex.org/W2103012681","https://openalex.org/W2105658140","https://openalex.org/W2111296615","https://openalex.org/W2114563530","https://openalex.org/W2122825543","https://openalex.org/W2124316743","https://openalex.org/W2125055259","https://openalex.org/W2129844177","https://openalex.org/W2131241448","https://openalex.org/W2135046866","https://openalex.org/W2295598076","https://openalex.org/W2296719434","https://openalex.org/W2330820318","https://openalex.org/W2911964244","https://openalex.org/W2913087274","https://openalex.org/W2951936974","https://openalex.org/W2963697351","https://openalex.org/W2964324259","https://openalex.org/W3085162807","https://openalex.org/W3102476541","https://openalex.org/W3120740533","https://openalex.org/W3121452939","https://openalex.org/W4243847365"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W1038900426"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}